Evidence map›Paper›PMID 40138867›Full record

ArticleClinics (Sao Paulo, Brazil)2025

Decoding prognostic factors in SARS-CoV-2 complications among patients with hematological disorders.

Fengbo Jin, Wei Qian, Yingying Chen, Wanlu Tian, Ling Ge, Mingzhen Yang, Leiming Xia

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2025. 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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2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Fengbo JinDepartment of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, China; Anhui Public Health Clinical Center, Hefei, China.
Wei QianDepartment of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, China; Anhui Public Health Clinical Center, Hefei, China.
Yingying ChenDepartment of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, China; Anhui Public Health Clinical Center, Hefei, China.
Wanlu TianDepartment of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, China; Anhui Public Health Clinical Center, Hefei, China.
Ling GeDepartment of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, China; Anhui Public Health Clinical Center, Hefei, China.
Mingzhen YangDepartment of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, China; Anhui Public Health Clinical Center, Hefei, China.
Leiming XiaSchool of Basic Research, Xinjiang Second Medical College, Xinjiang, China. Electronic address: 278461175@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the intricate tapestry of the global SARS-CoV-2 pandemic, this study delves into the intricate interplay of clinical data to elucidate prognostic factors associated with complications in patients concomitantly afflicted with hematological disorders and SARS-CoV-2. An exhaustive analysis of 71 individuals, spanning the period from November 2022 to March 2023, aims to unveil distinctive clinical characteristics and explicate the nuanced determinants steering the trajectory of the disease. The updated findings reveal a multi-faceted correlation, underscoring the complex interplay of clinical parameters. Among individuals with hematological disorders, anomalously elevated ferritin levels are closely associated with the development of SARS-CoV-2 pneumonia, while interferon-γ is intricately linked to the severity of SARS-CoV-2. Conversely, elevated ferritin levels, increased D-dimer and fibrin degradation products, along with significantly elevated iron levels, manifest a significant association with patient mortality. Intriguingly, those in patients in complete hematologic remission confront an augmented risk of developing SARS-CoV-2 pneumonia, while those abstaining from anti-tumor treatments exhibit mitigated case severity. This study unveils the intricate interplay of clinical factors impacting the prognosis of SARS-CoV-2 complications in individuals with hematological disorders. The cognizance of aberrant interferon-γ activation and nuanced associations with ferritin, iron levels, and coagulation markers contributes to a more holistic comprehension of the prognostic landscape.

Indexed as

COVID-19Hematologic DiseasesAdultAgedBiomarkersFemaleFerritinsFibrin Fibrinogen Degradation ProductsHumansInterferon-gammaIronMaleMiddle AgedPrognosisRisk FactorsSARS-CoV-2BiomarkersFerritinsFibrin Fibrinogen Degradation Productsfibrin fragment DInterferon-gammaIronD-dimerDisease SeverityFDPFerritinHematological disordersLymphocyte countsMortalitySARS-CoV-2SARS-CoV-2 pneumonia

Identifiers

PMID40138867
PMCPMC11985135

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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.