Evidence map›Paper›PMID 42447273›Full record

ArticleNursing open2026

Association Between the Red Blood Cell Distribution Width-to-Albumin Ratio, Nursing Notes, and the Length of Hospital Stay in Iron Deficiency Anaemia Complicated With Congestive Heart Failure Patients.

Xiao-Fang Fang, Ya-Ping Xie, Yu-Qin Teng, Fang Zheng, Pei-Yu Lin, Yuan-Yuan Hu

Abstract read
In one paragraph

Article in Nursing open, 2026. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiao-Fang FangDepartment of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
Ya-Ping XieDepartment of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
Yu-Qin TengDepartment of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
Fang ZhengDepartment of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
Pei-Yu LinDepartment of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
Yuan-Yuan HuDepartment of Hematology, Affiliated Hangzhou First People's Hospital Chengbei Campus, School of Medicine, Westlake University, Hangzhou, China.ORCID https://orcid.org/0009-0009-4031-8949

Funding

The Medical and Health Research Project of Zhejiang Province 2025KY1039
6 · The paper itself

Abstract

aimsTo evaluate the influence of the red blood cell distribution width-to-albumin ratio (RAR) and sentiment scores from nursing notes on the length of hospital stay (LOS) and mortality risk among iron deficiency anaemia (IDA) patients with congestive heart failure (CHF).

designA retrospective study.

methodsData for this retrospective research were obtained from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Multivariable logistic regression analysis was conducted to determine the individual associations of RAR and sentiment subjectivity scores with 7-day hospital LOS. Additional multivariable logistic analyses and subgroup analyses were performed to explore the joint effect of RAR and subjectivity combined on 7-day hospital LOS.

result655 IDA patients with CHF were included. Among them, 384 patients (58.63%) had a hospital LOS exceeding 7 days. Multivariable logistic regression revealed that the RAR and the scaled subjectivity were linked to the 7-day hospital LOS. The combination of RAR and subjectivity was significantly associated with the 7-day hospital LOS. Compared to the low subjectivity and low RAR group, the group with high subjectivity and high RAR was identified as a risk factor for a 7-day hospital LOS.

conclusionHigh RAR and high subjectivity were associated with a higher risk of 7-day hospital LOS in IDA patients with CHF, but the two predictors did not interact. Prospective validation of RAR-based risk stratification and of joint RAR-subjectivity classification as an exploratory descriptive tool is warranted before clinical implementation. IMPLICATIONS FOR PATIENT CARE: Nurses may use RAR and nursing note subjectivity as complementary information to identify patients at higher risk of prolonged hospitalisation and prioritise nursing assessment and care planning accordingly. REPORTING

methodAdhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

Anemia, Iron-DeficiencyErythrocyte IndicesHeart FailureLength of StayAgedAged, 80 and overFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesIDAnursingRARCHF

Identifiers

PMID42447273
PMCPMC13367939

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.