Evidence map›Paper›PMID 39985722›Full record

ArticleAging clinical and experimental research2025

Enhancing in-hospital mortality prediction in older patients with sepsis: the role of frailty indices and multidrug-resistance status in non-ICU wards-a proof-of-concept study.

Chukwuma Okoye, Andrea Piazzoli, Maria Cristina Ferrara, Alberto Finazzi, Alice Margherita Ornago, Elena Pinardi, Beatrice Tonus, Paolo Mazzola, Andrea Ticinesi, Giuseppe Bellelli

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Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Chukwuma Okoye *School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy. chukwuma.okoye@unimib.it.ORCID http://orcid.org/0000-0003-2969-7393
Andrea Piazzoli *Internal Medicine Department, M.O.A Locatelli Hospital, ASST-Bergamo Est, Piario, Italy.
Maria Cristina FerraraSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Alberto FinazziSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Alice Margherita OrnagoSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Elena PinardiSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Beatrice TonusSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Paolo MazzolaSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Andrea TicinesiDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Giuseppe BellelliSchool of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrognostic stratification in older patients with sepsis is challenging due to frailty and the role of multidrug-resistant (MDR) infections.

aimsTo test the predictive accuracy of different frailty measures, blood routine tests and MDR infection status for in-hospital mortality among older patients with sepsis.

methodsConsecutive patients aged ≥ 65 years with qSOFA ≥ 2 and positive cultures admitted to a tertiary care hospital were enrolled. Frailty was assessed using the Clinical Frailty Scale (CFS), the Primary Care-Frailty Index (PC-FI), and a 50-item FI. A base logistic regression model including age, sex, WBC count, platelets, creatinine, hs-CRP, and lactate predicted mortality. Frailty indices and MDR status were sequentially added, and model performance was compared using the area under the Receiver Operating Characteristics (AUROC). A nomogram was developed to visualize mortality probabilities.

resultsAmong 93 patients (median age 80, IQR [72-84] years, 63.4% males), in-hospital mortality was 16.1%. Deceased patients were frailer and had a higher number of comorbidities. By logistic multivariable regression, the base model achieved an AUROC of 0.771 for predicting in-hospital mortality. Adding frailty indices improved model performance to 0.800 (PC-FI), 0.817 (CFS), and 0.823 (FI). Incorporating MDR status further increased AUROC to 0.890 (PC-FI + MDR), 0.907 (CFS + MDR), and 0.922 (FI + MDR), outperforming the base model (p < 0.05 for all).

conclusionsIncorporating frailty indices and MDR status of culture isolates into traditional prognostic parameters improves mortality prediction in older patients admitted with sepsis, enabling more accurate risk stratification and personalized treatment strategies.

Indexed as

Drug Resistance, MultipleFrailtyHospital MortalitySepsisAgedAged, 80 and overFemaleGeriatric AssessmentHumansMalePrognosisProof of Concept StudyROC CurveFrailtyHospitalMortalityMultidrug resistancePredictionSepsis

Identifiers

PMID39985722
PMCPMC11846750

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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.