Deans' stroke musings: Cardiometabolic index and modified cardiometabolic index are associated with early neurological deterioration in patients with acute ischemic stroke

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, May 11, 2026

Cardiometabolic index and modified cardiometabolic index are associated with early neurological deterioration in patients with acute ischemic stroke

So what! Solve the damn problem instead of telling us predictors of it! I'd have you all fired for incompetence! Leaders solve problems; obviously

NO LEADERS HERE!

Cardiometabolic index and modified cardiometabolic index are associated with early neurological deterioration in patients with acute ischemic stroke

L
Li Xu †
F
Fan Liu †
X
Xiaoran Zhang †
Z
Zhe Xie
W
Wenwei Zou
M
Mengchao Wang
Zhongwen Zhi
Yufeng Liu *
L
Liandong Zhao *

Department of Neurology, The Second People’s Hospital of Huai’an, The Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, China

Abstract

Background:

Early neurological deterioration (END) in patients with acute ischemic stroke (AIS) leads to a poor prognosis. Previous studies suggest a high risk of END associated with obesity and metabolic abnormalities. The primary aim of this study was to determine if cardiometabolic index (CMI) and modified CMI (MCMI) are linked to END in patients with AIS.

Methods:

This study retrospectively included 563 patients with AIS who had not received reperfusion therapy. Among the participants, 215 (38.2%) were female, with a median age of 69 years (interquartile range: 60–75) and a median baseline National Institutes of Health Stroke Scale (NIHSS) score of 2 (interquartile range: 1–3). According to the TOAST classification, 317 cases (56.3%) were identified as large artery atherosclerosis, 58 cases (10.3%) as cardioembolism, and 188 cases (33.4%) as small-artery occlusion. Patients were classified as experiencing END if their total NIHSS score increased by ≥ 2 points or the motor NIHSS score increased by ≥ 1 point within the first 72 h following admission. Multivariate Logistic regression was used to evaluate whether CMI and MCMI were independently associated with the occurrence of END in AIS patients. Restricted cubic spline (RCS) regression analyzed the nonlinear relationship between CMI, MCMI, and END. Additionally, subgroup analyses were conducted to evaluate the applicability of the findings in different populations.

Results:

A total of 123 subjects were identified as having combined END during hospitalization. The CMI and MCMI levels in the END group were significantly elevated compared to the non-END group (p < 0.001). Multivariate logistic regression analysis indicated that both high-level CMI and MCMI, when treated as categorical or continuous variables, are independent risk factors for END in AIS patients (all p < 0.05). Moreover, subgroup analysis showed that this association was stable in different populations (all p for interaction >0.05). The RCS curve showed nonlinear associations between CMI (p for nonlinear = 0.048), MCMI (p for nonlinear <0.001) and END. The areas under the curves of CMI and MCMI were 0.643 (95% Confidence interval (CI): 0.601–0.682) and 0.665 (95%CI: 0.625–0.704), respectively.

Conclusion:

Our study showed that CMI and MCMI at admission were independently associated with END in AIS patients, which could be helpful for early risk stratification of stroke patients.