Deans' stroke musings: Association between C-reactive protein-albumin-lymphocyte index and stroke: an NHANES analysis (1999

Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Thursday, April 3, 2025

Association between C-reactive protein-albumin-lymphocyte index and stroke: an NHANES analysis (1999–2010)

So you found an association. WHAT THE FUCK NEEDS TO BE DONE TO PREVENT THE PROBLEMS? That is what good stroke research should be doing. This is useless for stroke recovery or prevention! I'd have the mentors and senior researchers fired for such crapola!

Association between C-reactive protein-albumin-lymphocyte index and stroke: an NHANES analysis (1999–2010)

Yizhou Chen^1†, Meifang Liu^2,3†, Yi Zhang⁴, Xiaolin Yang¹, Mengqi Yue¹, Xu Chen¹, Haiqiang Wang¹, Zirong Wang¹, Haocheng Yu¹ and Jing Shi^1,2,3*

¹Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan, China

²First Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan, China

³Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, Yunnan, China

⁴Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, Shangdong, China

Edited by
Guanghua Zhai, Nanjing Medical University, China

Reviewed by
Aditya Yashwant Sarode, Columbia University, United States
Gestter Willian Lattari Tessarin, University Center in the North of São Paulo (UNORTE), Brazil
Neel Patel, Staten Island University Hospital, United States

*Correspondence
Jing Shi, 2662831291@qq.com

^†These authors have contributed equally to this work

Received 07 January 2025
Accepted 20 March 2025
Published 02 April 2025

Citation
Chen Y, Liu M, Zhang Y, Yang X, Yue M, Chen X, Wang H, Wang Z, Yu H and Shi J (2025) Association between C-reactive protein-albumin-lymphocyte index and stroke: an NHANES analysis (1999–2010). Front. Neurol. 16:1548666. doi: 10.3389/fneur.2025.1548666

Objective: This cross-sectional study is based on the NHANES (1999–2010) database and aims to explore the potential relationship between the CALLY index and stroke in the U.S. population.

Methods: This cross-sectional study utilized data from NHANES (1999–2010), including 17,511 American participants after data cleaning. Laboratory markers related to the CALLY index were obtained through standardized biological sample collection and analysis procedures performed by trained professionals. Stroke status was determined based on self-reported questionnaires. Various statistical methods were employed to examine the association between the CALLY index and stroke, as well as its predictive efficacy for stroke risk, including multivariable logistic regression, subgroup analysis, RCS analysis, and ROC analysis.

Results: Among the 17,511 participants analyzed, our findings revealed a nonlinear L-shaped negative association between the CALLY index and stroke risk. In Model 3, a higher CALLY index was significantly associated with a lower stroke risk (OR: 0.99, 95% CI: 0.98–0.99, p = 0.045). Additionally, participants in the highest quartile (Q4) of the CALLY index had a 25% lower likelihood of stroke compared to those in the lowest quartile (Q1) (OR: 0.75, 95% CI: 0.58–0.97, p = 0.030). Furthermore, ROC analysis demonstrated that the CALLY index had superior predictive performance for stroke risk compared to the SIRI and SII indices.

Conclusion: A reduced CALLY index may be linked to a higher risk of stroke. Furthermore, the CALLY index demonstrates superior predictive performance compared to the SIRI and SII indices. The association between the CALLY index and stroke risk provides valuable insights for future stroke prevention and management strategies.