Correction: Longitudinal models for the progression of disease portfolios in a nationwide chronic heart disease population
Nikolaj Normann Holm, Anne Frølich, Ove Andersen, Helle Gybel Juul-Larsen, Anders Stockmarr

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsChronic Disease Management Strategies · Machine Learning in Healthcare · Frailty in Older Adults
The plots are incorrect in Fig 4. Please see the correct Fig 4 here.
In the subsection titled “A combined effect of degree of multimorbidity on disease postponement time,” which is within the section titled “Results and Application,” there is an error in the ninth sentence. The correct sentence is: The postponement time to new diagnosis or death is generally lower for males than females, with the difference between sexes most distinct at high multimorbidity levels (6+ diagnoses).
In S1 Table, there is an error in the row labeled “Heart disease” and in the row labeled “Dementia.” In the row labeled “Heart Disease,” the values in the column labeled “ICD-10 from NPR and PCRR” should have been “I20, I21, I23-I25, I50, I11, I13.” In the “Dementia” row, the text in the column labeled “Definition” should have been “(DIAG)a All patients aged 60 years or older at contact. And/or (MEDICINE)b with ATC: N06D, also aged 60 years or older at the date of distribution.” Please see the correct S1 Table here.
Supporting information
S1 TableAlgorithmic diagnoses. Algorithms used to define the 15 conditions.(DOCX)
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