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The Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan.
Chartash, David; Gilson, Aidan; Taylor, R Andrew; Hart, Laura C.
Affiliation
  • Chartash D; From the Section for Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC, RAT), School of Medicine, University College Dublin - National University of Ireland, Dublin (DC), Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT
  • Gilson A; From the Section for Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC, RAT), School of Medicine, University College Dublin - National University of Ireland, Dublin (DC), Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT
  • Taylor RA; From the Section for Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC, RAT), School of Medicine, University College Dublin - National University of Ireland, Dublin (DC), Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT
  • Hart LC; From the Section for Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT (DC, RAT), School of Medicine, University College Dublin - National University of Ireland, Dublin (DC), Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT
J Am Board Fam Med ; 37(2): 251-260, 2024.
Article in En | MEDLINE | ID: mdl-38740476
ABSTRACT

INTRODUCTION:

Multimorbidity rates are both increasing in prevalence across age ranges, and also increasing in diagnostic importance within and outside the family medicine clinic. Here we aim to describe the course of multimorbidity across the lifespan.

METHODS:

This was a retrospective cohort study across 211,953 patients from a large northeastern health care system. Past medical histories were collected in the form of ICD-10 diagnostic codes. Rates of multimorbidity were calculated from comorbid diagnoses defined from the ICD10 codes identified in the past medical histories.

RESULTS:

We identify 4 main age groups of diagnosis and multimorbidity. Ages 0 to 10 contain diagnoses which are infectious or respiratory, whereas ages 10 to 40 are related to mental health. From ages 40 to 70 there is an emergence of alcohol use disorders and cardiometabolic disorders. And ages 70 to 90 are predominantly long-term sequelae of the most common cardiometabolic disorders. The mortality of the whole population over the study period was 5.7%, whereas the multimorbidity with the highest mortality across the study period was Circulatory Disorders-Circulatory Disorders at 23.1%.

CONCLUSION:

The results from this study provide a comparison for the presence of multimorbidity within age cohorts longitudinally across the population. These patterns of comorbidity can assist in the allocation to practice resources that will best support the common conditions that patients need assistance with, especially as the patients transition between pediatric, adult, and geriatric care. Future work examining and comparing multimorbidity indices is warranted.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Family Practice / Multimorbidity Limits: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male Country/Region as subject: America do norte Language: En Journal: J Am Board Fam Med Year: 2024 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Family Practice / Multimorbidity Limits: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male Country/Region as subject: America do norte Language: En Journal: J Am Board Fam Med Year: 2024 Document type: Article Country of publication: United States