Evidence map›Paper›PMID 40659389›Full record

ArticleLupus science & medicine2025

Systemic Lupus International Collaborating Clinics-Frailty Index predicts hospitalisations in the Almenara Lupus Cohort.

Anubhav Singh, Rocio Violeta Gamboa-Cárdenas, Victor Román Pimentel-Quiroz, Cristina Reátegui-Sokolova, Zoila Rodriguez-Bellido, Cesar Augusto Pastor-Asurza, Risto Alfredo Perich-Campos, Graciela S Alarcón, Manuel Francisco Ugarte-Gil

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Article in Lupus science & medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers 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

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Anubhav SinghInternal Medicine, Baptist Hospitals of Southeast Texas, Beaumont, Texas, USA.ORCID 0009-0004-7812-0608
Rocio Violeta Gamboa-CárdenasRheumatology Department, Hospital Guillermo Almenara Irigoyen, EsSalud, Lima, Peru.
Victor Román Pimentel-QuirozRheumatology Department, Hospital Guillermo Almenara Irigoyen, EsSalud, Lima, Peru.ORCID 0000-0002-3638-7054
Cristina Reátegui-SokolovaRheumatology Department, Hospital Guillermo Almenara Irigoyen, EsSalud, Lima, Peru.ORCID 0000-0003-3421-2717
Zoila Rodriguez-BellidoRheumatology Department, Hospital Guillermo Almenara Irigoyen, EsSalud, Lima, Peru.
Cesar Augusto Pastor-AsurzaRheumatology Department, Hospital Guillermo Almenara Irigoyen, EsSalud, Lima, Peru.
Risto Alfredo Perich-CamposRheumatology Department, Hospital Guillermo Almenara Irigoyen, EsSalud, Lima, Peru.
Graciela S AlarcónMarnix E. Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Manuel Francisco Ugarte-GilRheumatology Department, Hospital Guillermo Almenara Irigoyen, EsSalud, Lima, Peru mugarte@cientifica.edu.pe.ORCID 0000-0003-1728-1999

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the Systemic Lupus International Collaborating Clinics-Frailty Index (SLICC-FI) as a predictor of hospitalisations in patients with SLE from a Latin American cohort.

methodsPatients from a single-centre prevalent cohort were included. The SLICC-FI was assessed at baseline. Hospitalisations, their number as well as their duration (in days), were reported during the first 3 years from the baseline visit. Univariable and multivariable negative binomial regressions were performed to determine the association between the baseline SLICC-FI (per 0.05 increase) and hospitalisations during follow-up (number and length), adjusted for possible confounders. An alternative analysis was carried out after excluding the damage-related deficits, rendering a modified SLICC-FI.

resultsOf the 295 patients included, 273 (92.5%) were female, with a mean (SD) age at diagnosis of 34.8 (13.5) years. At baseline, the mean SLICC-FI was 0.18 (0.05) with 86 (29.2%) patients categorised as being frail. The mean number of hospitalisations per patient-year was 0.4 (0.8) and the mean number of days hospitalised during the 3-year period per patient-year was 3.1 (7.6) days. The SLICC-FI predicted a higher number and days of hospitalisations (incidence rate ratio (IRR): 1.671 (95% CI: 1.385 to 2.016) and IRR: 2.018 (95% CI: 1.715 to 2.375), respectively). The modified SLICC-FI also predicted hospitalisations in both number and days.

conclusionThe SLICC-FI predicted hospitalisations in patients with SLE, independent of other well-known risk factors. Further studies are needed to develop strategies to improve frailty in these patients.

Indexed as

FrailtyHospitalizationLupus Erythematosus, SystemicAdultCohort StudiesFemaleHumansMaleMiddle AgedRisk FactorsSeverity of Illness IndexCost of IllnessEpidemiologyOutcome Assessment, Health CareSystemic Lupus Erythematosus

Identifiers

PMID40659389
PMCPMC12258343

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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.