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Record W7117483128 · doi:10.3390/curroncol33010014

Low HALP Score Predicts Prolonged Hospitalization in Solid Tumor Patients with Febrile Neutropenia

2025· article· en· W7117483128 on OpenAlexvenueno aff
Salih Karatlı, Doğan Yazılıtaş

Bibliographic record

VenueCurrent Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsnot available
Fundersnot available
KeywordsFebrile neutropeniaNeutropeniaSolid tumorClinical PracticeRisk assessment

Abstract

fetched live from OpenAlex

Background: Febrile neutropenia (FN) is a serious chemotherapy-related complication in patients with solid tumors. Identifying simple and accessible biomarkers that can predict prolonged hospitalization may support early risk stratification and clinical decision-making. Methods: This retrospective study included 169 adults hospitalized with FN between January 2023 and January 2025. Immunonutritional indices, including the Hemoglobin-Albumin-Lymphocyte-Platelet (HALP) score, the Prognostic Nutritional Index (PNI), and the C-reactive protein/albumin ratio (CAR), as well as the Clinical Index of Stable Febrile Neutropenia (CISNE) score were calculated. HALP and PNI were categorized using ROC-derived cut-offs based on the Youden Index. Prolonged hospital stay was defined as a binary variable based on the cohort median (>9 days). Spearman correlation, univariate and multivariate logistic regression were performed to identify predictors of prolonged hospitalization. Results: HALP showed a significant negative correlation with hospitalization duration (r = −0.469; p < 0.001), as did serum albumin (r = −0.184; p = 0.017) and PNI (r = −0.273; p < 0.001). CAR (p = 0.617) and neutrophil count (p = 0.955) demonstrated no correlation. In univariate logistic regression, low HALP (p < 0.001), low PNI (p = 0.001), intermediate CISNE (p = 0.002), high CISNE (p < 0.001), microbiological culture positivity (p < 0.001), and sex (p = 0.015) were significantly associated with prolonged hospitalization. Age, comorbidity status, metastatic stage, and CAR were not significant. In the multivariate model, low HALP (p < 0.001), intermediate CISNE (p = 0.007), high CISNE (p < 0.001), and culture positivity (p < 0.001) remained independent predictors. PNI (p = 0.400) and sex (p = 0.176) did not retain significance. Conclusions: A Low HALP score, higher CISNE risk categories, and microbiological culture positivity independently predicted prolonged hospitalization in FN. HALP, as a simple and inexpensive immunonutritional marker, may enhance early FN risk assessment when used alongside validated clinical tools such as CISNE or MASCC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.346
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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