Evidence map›Paper›PMID 35509520›Full record

ArticleClinical epidemiology2022

Development and Validation of a Nordic Multimorbidity Index Based on Hospital Diagnoses and Filled Prescriptions.

Kasper Bruun Kristensen, Lars Christian Lund, Peter Bjødstrup Jensen, Anne Broe, Emelie Rotbain, Per Damkier, Anton Pottegård, Jacob Harbo Andersen, Mikkel Højlund, Morten Olesen and 8 more

Abstract read
In one paragraph

Article in Clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
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  4. Observational
  5. Socioeconomic differences in labour market attachment after breast cancer: a population-based matched cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  8. General practice consultation patterns and patient factors predicting older patients' use of out-of-hours services: a nationwide register-based cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  9. Comorbidity indices in observational studies on cancer risk.Acta oncologica (Stockholm, Sweden) · 2026
    Article
  10. Article
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  12. Article
  13. Article
  14. Article
  15. Article
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  17. Article
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  20. Article
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

18 authors.

Kasper Bruun KristensenClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0001-6373-1386
Lars Christian LundClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Peter Bjødstrup JensenClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Anne BroeClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-4149-8808
Emelie RotbainDepartment of Hematology, Odense University Hospital, Odense, Denmark.ORCID 0000-0002-4199-772X
Per DamkierClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0003-0591-7187
Anton PottegårdClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0001-9314-5679
Jacob Harbo AndersenClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0003-0656-6905
Mikkel HøjlundClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Morten OlesenClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-0937-4952
Lotte RasmussenClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Morten Rix HansenClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-1582-7866
Martin Thomsen ErnstClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Rikke WesselhoeftClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0001-9700-2739
Daniel Pilsgaard HenriksenDepartment of Clinical Pharmacology, Odense University Hospital, Odense, Denmark.
Mette ReilevClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Mette BliddalClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-7637-3730
Jesper HallasClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-8097-8708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop the Nordic Multimorbidity Index (NMI), a multimorbidity measure specifically suited to the Nordic health and administrative registry data based on current diagnosis, treatment, and coding practices. Methods: The NMI was developed to predict 5-year mortality in a population-based cohort of randomly sampled Danish residents aged ≥40 years (n = 425,087) followed from 2013 to 2018. Included predictors were selected from hospital diagnoses and filled drug prescriptions based on a combination of subject matter knowledge and a data-driven approach using backwards elimination. The performance of the NMI was assessed in a temporal validation cohort of Danish residents followed from 2007 to 2012 and in six cohorts of new users of selected drugs. The discriminative performance of the NMI, Charlson Comorbidity Index (CCI) and the Elixhauser Comorbidity Index (ECI) was assessed using the c-statistic from logistic regression models with 5-year mortality as dependent variable and the multimorbidity index score, age, and sex as independent variables. Results: The NMI included 50 predictors. In the temporal validation cohort, the c-statistic of the NMI (0.887, 95% CI 0.883-0.890) exceeded that of the CCI (0.871, 95% CI 0.868-0.874) and ECI (0.866, 95% CI 0.863-0.870). In all new user cohorts, the NMI outperformed the other indices with c-statistics ranging from 0.781 (95% CI 0.779-0.784) to 0.838 (95% CI 0.834-0.842). Conclusion: The NMI predicted 5-year mortality in a general Danish population and six cohorts of new users of selected drugs and was superior to the CCI and ECI. The NMI could be preferred over these indices to quantify the level of multimorbidity for, eg, descriptive purposes or confounding control. The NMI should be validated in other patient populations and other Nordic countries.

Indexed as

comorbiditymultimorbiditypharmacoepidemiologyprognosisrisk score

Identifiers

PMID35509520
PMCPMC9058012

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Registered trials

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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.