Deans' stroke musings: Correlations of systemic immune-inflammation index and systemic inflammation response index with the risk for early-onset post-stroke depression in patients with minor stroke: a prospective observational study

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.

Monday, July 13, 2026

Correlations of systemic immune-inflammation index and systemic inflammation response index with the risk for early-onset post-stroke depression in patients with minor stroke: a prospective observational study

Why work on this rather than PREVENTING DEPRESSION WITH EXACT 100% RECOVERY PROTOCOLS?

Don't your mentors and senior researchers know the correct way to deal with problems? Prevent them!

Correlations of systemic immune-inflammation index and systemic inflammation response index with the risk for early-onset post-stroke depression in patients with minor stroke: a prospective observational study

W
Wei Zhao 1†
Mingzhu Deng 2†
Zhen Wang 1
Guohua He 1
Wei Xu 1
T
Tieqiao Feng 1
J
Jian Peng 1
Kangping Song 1
L
Ling Xiao 1*
Fangyi Li 1*

1. Department of Neurology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
2. Department of Neurology, The Second People’s Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, Hunan, China

Abstract

Background:

Inflammation plays a pivotal role in the pathophysiology of post-stroke depression (PSD). However, the relationship between novel systemic inflammatory indices-the systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI)-and early-onset PSD remains inadequately explored.

Methods:

Early-onset PSD was diagnosed 2 weeks after acute ischemic stroke (AIS). Depression severity was assessed using the 17-item Hamilton Depression Rating Scale (HAMD-17); patients with scores ≥7 were classified into the early-onset PSD group. Spearman rank correlation analysis was performed to evaluate associations of SII and SIRI with HAMD-17 scores across all participants. Binary logistic regression was used to examine the independent associations of SII and SIRI with early-onset PSD. Receiver operating characteristic (ROC) analysis was employed to assess the SII and SIRI capacity to differentiate early-onset PSD.

Results:

Of the 1,113 prospectively enrolled patients, 372 (33.42%) were diagnosed with early-onset PSD. HAMD-17 scores showed significant positive correlations with SII (r = 0.440, p < 0.001) and SIRI (r = 0.418, p < 0.001). Both SII (OR = 1.762, 95% CI: 1.261–1.946, p < 0.001) and SIRI (OR = 1.672, 95% CI: 1.348–1.932, p = 0.004) emerged as independent predictors of early-onset PSD. The areas under the curve (AUC) for SII, SIRI, and their combination were 0.767, 0.718, and 0.807, respectively.

Conclusion:

SII and SIRI may serve as independent risk factors for early-onset PSD. These indices offer potential utility for risk stratification and could inform prevention strategies and prognosis management in this patient population.