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Charting the Pathways of Cardiometabolic Multimorbidity: A Systematic Review of Clinical Trajectories
Ignatios Ioakeim-Skoufa1,2,3,4,5, Rubén Ledesma-Calvo2, Aida Moreno-Juste3,5,6
1Department of Drug Statistics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, 0213 Oslo, Norway.
Insights
Cardiometabolic multimorbidity (CMM) significantly increases mortality and functional decline across all demographics. Understanding CMM progression is key to developing targeted interventions and reducing health disparities.
Area of Science:
- Public Health
- Epidemiology
- Gerontology
Background:
- Managing multimorbidity presents a significant healthcare challenge.
- Cardiometabolic multimorbidity (CMM) is prevalent, associated with increased disease burden, functional decline, and mortality.
- Longitudinal studies are crucial for understanding disease progression and identifying intervention targets.
Purpose of the Study:
- To systematically review longitudinal studies on the incidence and progression of CMM.
- To explore transitions between multimorbidity clusters and their clinical implications.
- To synthesize evidence on CMM evolution and patient outcomes.
Main Methods:
- Systematic literature search in MEDLINE and EMBASE following PRISMA guidelines.
- Inclusion of studies with longitudinal designs and clustering techniques for multimorbidity assessment.
- Quality evaluation of evidence using the GRADE system.
Main Results:
- Ten studies met inclusion criteria, analyzing CMM across age groups and sexes.
- CMM is associated with the highest mortality and functional decline rates.
- Patients with CMM often develop additional cardiometabolic, neurodegenerative, or mental health conditions, with transitions from respiratory clusters noted. CMM prevalence is higher in lower socioeconomic populations.
Conclusions:
- Understanding multimorbidity trajectories, particularly CMM, is vital for targeted prevention.
- Identifying predictable progression patterns can inform effective interventions.
- Addressing CMM can help reduce health disparities and improve overall healthcare outcomes.
Abstract:
Background: Managing multimorbidity is a major challenge for healthcare systems. Cardiometabolic multimorbidity (CMM) is highly prevalent and linked to increased disease burden, functional decline, and mortality. While most studies focus on cross-sectional analyses, longitudinal approaches are essential for understanding disease progression and identifying patient groups who may benefit from targeted interventions. Objectives: This systematic review synthesises evidence from longitudinal studies on the incidence and progression of CMM, exploring transitions between multimorbidity clusters and their clinical implications. Methods: A systematic search was conducted in MEDLINE and EMBASE following PRISMA guidelines. Studies were included if they employed longitudinal designs and clustering techniques to assess multimorbidity evolution. The quality of evidence was evaluated using the GRADE system. Results: Ten studies met the inclusion criteria. CMM occurs across all age groups and both sexes, showing the highest mortality and functional decline rates. Patients with CMM frequently develop additional cardiometabolic conditions or transition to related clusters. Many also experience neurodegenerative and mental health disorders. Individuals from respiratory multimorbidity clusters often transition to CMM. Moreover, CMM is more prevalent in lower socioeconomic populations. Conclusions: Understanding multimorbidity trajectories enables targeted preventive strategies. Identifying patients with predictable progression can help design adequate and effective interventions, reduce health disparities, and improve healthcare outcomes.
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