Back to results
Bibliographic record · Consultation and access
Artículo de revista

Optimizing healthcare resources in pyogenic liver abscess: a dual-threshold HDL-CRP model for predicting hospitalization duration across multi-cohorts

Mingzhu Tao et al · Frontiers Media S.A · 2026

Open access available
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.
Serial publication

A combined model of BCVA, TRAb, and NLR predicts response to intravenous methylprednisolone in dysthyroid optic neuropathy

This serial publication contains 132 related contents.

Resource access

Open the content from the main option or choose another available source.

DOAJ DOAJ Articles
Entrar por DOAJ
Main access

Open access available

Recurso identificado como acceso abierto, sin confirmar automáticamente si es texto completo directo.
Open resource

Summary

Descripción general del contenido del recurso.

BackgroundProlonged hospitalization for pyogenic liver abscess (PLA) burdens patients and health systems. We examined whether admission high-density lipoprotein cholesterol (HDL-C) predicts length of stay (LOS) and whether a simple HDL–C-reactive protein (CRP) dual-threshold can flag patients at risk of prolonged stay.MethodsWe analyzed a prospective adult PLA cohort at a tertiary center (2018–2023; n = 138) and validated findings in MIMIC-IV ICU patients with liver abscess (n = 38) and in NHANES 2017–2020 (n = 9,226). Multivariable models related admission HDL-C to log-transformed LOS; model performance and calibration were assessed with internal resampling and external validation. We further evaluated a dual-threshold rule and conducted mediation analysis with CRP.ResultsLower HDL-C independently associated with longer LOS. A nomogram combining HDL-C, abscess size, and sepsis performed well (R2≈0.66; RMSE≈6.4 d) and remained directionally consistent across external datasets. A dual-threshold (HDL-C < 1.03 mmol/L and CRP > 1.0 mg/dL) identified a high-risk subgroup with greater odds of prolonged stay. CRP mediated a small proportion of the HDL-C–LOS association.ConclusionAdmission HDL-C, particularly when interpreted together with CRP, may help identify PLA patients at increased risk of prolonged hospitalization at the time of admission. Patients with low HDL-C and high CRP may warrant closer monitoring, earlier evaluation for source control or drainage, and more proactive inpatient planning. Prospective implementation studies are warranted.

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

al, M. T. E. (2026). Optimizing healthcare resources in pyogenic liver abscess: a dual-threshold HDL-CRP model for predicting hospitalization duration across multi-cohorts. https://doi.org/10.3389/fmed.2026.1708360

MLA

al, Mingzhu Tao et. "Optimizing healthcare resources in pyogenic liver abscess: a dual-threshold HDL-CRP model for predicting hospitalization duration across multi-cohorts." 2026. https://doi.org/10.3389/fmed.2026.1708360.

Chicago

al, Mingzhu Tao et. 2026. "Optimizing healthcare resources in pyogenic liver abscess: a dual-threshold HDL-CRP model for predicting hospitalization duration across multi-cohorts.". https://doi.org/10.3389/fmed.2026.1708360.

Harvard

al, M. T. E. 2026, Optimizing healthcare resources in pyogenic liver abscess: a dual-threshold HDL-CRP model for predicting hospitalization duration across multi-cohorts, Frontiers Media S.A, available at: https://doi.org/10.3389/fmed.2026.1708360 [Accessed 8 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
Optimizing healthcare resources in pyogenic liver abscess: a dual-threshold HDL-CRP model for predicting hospitalization duration across multi-cohorts
Author / contributors
Mingzhu Tao et al
Publisher
Frontiers Media S.A
Publication year
2026
ISSN
2296-858X
ISSN
2296-858X
Language
English

Subjects

Explore related resources through these subjects.

Copied