Association between cardiometabolic diseases and the risk and progression of motor neuron diseases in Sweden: a population-based case–control study
2024

Link Between Heart and Metabolic Diseases and Motor Neuron Diseases

Sample size: 1463 publication 10 minutes Evidence: high

Author Information

Author(s): Chourpiliadis Charilaos, Lovik Anikó, Seitz Christina, Hu Yihan, Wu Jing, Ljungman Petter, Press Rayomand de, Samuelsson Kristin, Ingre Caroline, Fang Fang

Primary Institution: Karolinska Institutet, Stockholm, Sweden

Hypothesis

Is there an association between cardiometabolic diseases and the risk and progression of motor neuron diseases?

Conclusion

Diabetes mellitus type 2 and hypercholesterolemia were associated with a lower future risk of motor neuron diseases, while most cardiometabolic diseases indicated poor prognosis after diagnosis.

Supporting Evidence

  • Diabetes mellitus type 2 and hypercholesterolemia were associated with lower odds of motor neuron diseases.
  • Patients with a history of cardiovascular diseases had higher mortality risks after diagnosis.
  • Cluster analysis identified distinct patient groups with different prognostic outcomes.

Takeaway

Having diabetes or high cholesterol might help protect against certain nerve diseases, but having heart problems can make them worse.

Methodology

The study included 1463 motor neuron disease patients and matched them with 7311 controls, analyzing the impact of various cardiometabolic diseases on risk and progression.

Potential Biases

Potential residual confounding due to unmeasured factors not shared between relatives.

Limitations

The study may not account for all confounding factors and relied on diagnoses recorded in medical registries.

Participant Demographics

Mean age at diagnosis was 67.3 years, with 55.6% being men.

Statistical Information

P-Value

0.75 for diabetes, 0.82 for hypercholesterolemia

Confidence Interval

95% CI 0.62, 0.93 for diabetes; 95% CI 0.71, 0.94 for hypercholesterolemia

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1016/j.lanepe.2024.101173

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