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, September 30, 2024

METS-IR as an important predictor of neurological impairment severity in patients with severe cerebral infarction: a multicenter study based on the Chinese population

 You do realize that predictions like this ARE ABSOLUTELY FUCKING WORTHLESS FOR GETTING SURVIVORS RECOVERED! 

I'd have you all fired for not doing the research that would prevent this problem!

METS-IR as an important predictor of neurological impairment severity in patients with severe cerebral infarction: a multicenter study based on the Chinese population

Yaqi Hou&#x;Yaqi Hou1Xiaohua Wu&#x;Xiaohua Wu2Yiheng Shi&#x;Yiheng Shi3Xiaotian XuXiaotian Xu4Yu ZhangYu Zhang1Lei JiangLei Jiang1Wei WangWei Wang4Yan YangYan Yang4Lanying Hu
Lanying Hu5*
  • 1School of Nursing, Yangzhou University, Yangzhou, Jiangsu, China
  • 2Department of Endocrinology and Hematology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, China
  • 3Department of Gastroenterology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou Jiangsu, China
  • 4Department of Neurology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, China
  • 5Department of Nursing, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, China

Background: Insulin resistance (IR) is linked to an increased risk of neurological impairment following a stroke and may contribute to poor neurological prognosis in affected patients. The metabolic score for the insulin resistance index, shortened as the METS-IR, generally serves as a surrogate index for IR. However, its association with the severity of neurological impairment in patients with severe cerebral infarction (CI) in neurological intensive care units (ICU) has not been fully established.

Methods: Patients with a diagnosis of CI, admitted to the neurological ICUs of Yangzhou University’s Affiliated Hospital and Xuzhou Medical University’s Affiliated Hospital, were included in the study. A multivariate logistic regression model and restricted cubic splines (RCS) were employed to explore the relationship between the METS-IR index and the severity of neurological impairment in these patients. The predictive capabilities of the METS-IR index and the triglyceride-glucose (TyG) index for outcome measures were compared through the ROC curve. Furthermore, a decision curve analysis was executed, and the integrated discrimination improvement (IDI) index was computed to evaluate the enhancements in predictive performance and clinical utility of various scoring systems with the inclusion of the METS-IR index. Subgroup analysis was conducted regarding age, BMI, and smoking status.

Results: The study ultimately included 504 participants. Adjusted logistic regression and RCS results showed that as the METS-IR index increases, the risk of neurological impairment in patients with severe CI consistently grows (P for overall = 0.0146, P-nonlinear: 0.0689). The METS-IR index’s predictive capability for neurological impairment (AUC = 0.669) was superior to that of the TyG index (AUC = 0.519).

Conclusion: From the study results, the METS-IR index can serve as an important predictor for neurological impairment in ICU patients with severe CI. It can aid in the identification and early intervention of neurological impairment in these patients.

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