Once again, useless predictions of impairment rather than delivering EXACT RECOVERY PROTOCOLS that get survivors recovered! I'd have you all fired for incompetence!
Let's see how long you've been incompetent in not solving this post stroke cognitive impairment problem! Which also proves the board of directors' incompetence for every hospital that isn't solving this problem!
Serum multi-trace elements and post-stroke cognitive impairment: a prospective observational cohort study
Translational Psychiatry 15, Article number: 222 (2025)
Abstract
Post-stroke cognitive impairment (PSCI) significantly affects stroke survivors. Identifying modifiable risk factors for PSCI is essential. Serum multi-trace elements are crucial for neurological function but vary in concentration among older adults. It remains unclear whether increasing multi-trace elements can reduce the incidence of PSCI. We investigated the associations between baseline serum multi-trace elements and PSCI. The Montreal Cognitive Assessment defined PSCI. We used logistic regression analyses to evaluate the association between serum multi-trace elements and PSCI. Subsequently, we assessed the associations between serum multi-trace elements and three different cognitive domains using the Kruskal–Wallis test. We further evaluated improvements in the predictive ability of serum multi-trace elements. Finally, 626 patients (mean age: 62.85 ± 7.54 years) were followed up for a median of 1.2 years. Lower concentrations of serum iron (odds ratio [OR] = 2.498, 95% confidence interval [CI]: 1.505–4.145) and zinc (OR = 2.015, 95% CI: 1.233–3.293) were associated with a higher PSCI risk. Higher concentrations of serum iron (OR = 0.368, 95% CI: 0.227–0.595) and magnesium (OR = 0.273, 95% CI: 0.164–0.454), along with lower concentrations of serum copper (OR = 0.544, 95% CI: 0.34–0.872), were significantly correlated with a lower PSCI risk. Cognitive impairments varied across multi-trace elements. Serum iron affected wider cognition, while magnesium and copper levels were strongly associated with language and executive function. Adding serum multi-trace elements to the conventional model improved PSCI risk reclassification (area under curve: 0.676–0.718). Multi-trace elements may influence PSCI progression. This study was registered with the Chinese Clinical Trial Registry (URL: https://www.chictr.org.cn/; unique identifier: ChiCTR1900022675).

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