Evidence map›Paper›PMID 41877174›Full record

ArticleBMC medicine2026

Multimorbidity patterns and the subsequent risk of albuminuria: findings from the Stockholm Creatinine Measurements (SCREAM) project.

Giorgi Beridze, Patrick B Mark, Michael K Sullivan, Heather Walker, Shigeru Tanaka, Anne-Laure Faucon, Davide L Vetrano, Amaia Calderón-Larrañaga, Juan-Jesus Carrero

Abstract read
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Giorgi BeridzeAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden. giorgi.beridze@ki.se.ORCID 0000-0002-2615-226X
Patrick B MarkSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, Scotland.
Michael K SullivanSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, Scotland.
Heather WalkerSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, Scotland.
Shigeru TanakaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Anne-Laure FauconDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Davide L VetranoAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Amaia Calderón-LarrañagaAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Juan-Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Funding

the Wellcome Trust 223499/Z/21/Z
6 · The paper itself

Abstract

backgroundChronic conditions often cluster together, forming distinct multimorbidity patterns. We aimed to explore how such patterns are associated with the risk of albuminuria.

methodsWe utilized the Stockholm Creatinine Measurements (SCREAM) project, comprising 675,570 adults undergoing outpatient albuminuria testing in Stockholm, Sweden. Disease patterns were derived in adults without albuminuria at baseline, stratified by age (18-64, 65-74, ≥ 75 years). Associations with incident albuminuria (albumin-creatinine ratio > 30 mg/g) and macroalbuminuria (> 300 mg/g) were examined using Cox and Fine-Gray competing risk models.

resultsWe identified four multimorbidity patterns in younger participants (18-64), six in the 65-74 group, and seven among those aged ≥ 75. Across all age groups, most patterns-including cardiovascular, mental health, and eye patterns-were consistently associated with elevated albuminuria risk compared to those without multimorbidity. In the 65-74 stratum, the cardiovascular pattern had the highest risk compared to those without multimorbidity (HR 3.09: 95% CI: 2.85-3.34). Among those aged ≥ 75, almost all identified patterns showed higher risk, with those in the vascular pattern being at highest risk (HR: 2.41, 95% CI: 2.08-2.80). The dementia pattern showed no significant association. High-burden patterns in older participants with numerous chronic conditions (e.g., multisystem and cardiovascular patterns) were at increased risk, but this was attenuated after accounting for the competing risk of death. The 5- to 6-year cumulative incidence of albuminuria exceeded 10-14% in the highest-risk patterns, 5-9% higher than for those without multimorbidity. In interaction analyses, reduced estimated glomerular filtration rate amplified risk among younger individuals. Females generally had lower risk, except with mental health patterns in younger ages or cardiovascular multimorbidity in those 65 to 74.

conclusionsMultimorbidity patterns, including those characterized by non-traditional CKD risk factors, can help identify individuals at elevated albuminuria risk. Targeted screening of these groups may enable preventive strategies to slow or prevent kidney damage.

Indexed as

AlbuminuriaCreatinineMultimorbidityAdolescentAdultAgedCardiovascular DiseasesFemaleHumansMaleMiddle AgedRisk FactorsSwedenYoung AdultCreatinineAlbuminuriaCohort studiesKidney diseasesMultimorbidityRisk factors

Identifiers

PMID41877174
PMCPMC13063769

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.