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Erschienen in: Neurological Sciences 9/2022

26.05.2022 | Review Article

Medications on hypertension, hyperlipidemia, diabetes, and risk of amyotrophic lateral sclerosis: a systematic review and meta-analysis

verfasst von: Nan Hu, Hongyan Ji

Erschienen in: Neurological Sciences | Ausgabe 9/2022

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Abstract

Objective

To investigate the association between the use of common medications on hypertension, hyperlipidemia, diabetes, and the risk of amyotrophic lateral sclerosis (ALS).

Methods

PubMed, EMBASE, OVID, and Web of Science were searched systematically until December 2021 for studies quantitatively investigating the effect of medications on hypertension, hyperlipidemia, and diabetes on the risk of ALS. We conducted a fixed-effects model or random-effects meta-analysis to calculate the summary ORs (odds ratios) and 95%CIs (confidence intervals).

Results

Regular intake of angiotensin-converting enzyme inhibitors (ACEIs) (OR: 0.81, 95%CI: 0.74, 0.89), beta-blockers (OR: 0.82, 95%CI: 0.76, 0.90), calcium-channel blockers (CCBs) (OR: 0.85, 95%CI: 0.79, 0.93), or diuretics (OR: 0.87, 95%CI: 0.81, 0.93) was inversely associated with the incidence of ALS. There was no significant association between statin use and risk of ALS (OR: 0.92, 95%CI: 0.83, 1.03). Metformin (OR: 0.83, 95%CI: 0.75, 0.93) and sulfonylureas (OR: 0.79, 95%CI:0.71, 0.89) use could significantly reduce the risk of ALS.

Conclusion

Regular use of anti-hypertensive drugs and anti-diabetes including ACEIs, beta-blockers, CCBs, diuretics, metformin, and sulfonylureas could protect against the incidence of ALS. No significant association between anti-hyperlipidemia drug use and risk of ALS was revealed. Regular medications for hypertension, hyperlipidemia, and diabetes should be recommended regardless of the diagnosis of ALS.
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Metadaten
Titel
Medications on hypertension, hyperlipidemia, diabetes, and risk of amyotrophic lateral sclerosis: a systematic review and meta-analysis
verfasst von
Nan Hu
Hongyan Ji
Publikationsdatum
26.05.2022
Verlag
Springer International Publishing
Erschienen in
Neurological Sciences / Ausgabe 9/2022
Print ISSN: 1590-1874
Elektronische ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-022-06131-7

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