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Risk of Post-Stroke Depression

Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression


Research suggests that insulin resistance (IR) is associated with acute ischemic stroke (AIS) and depression. The use of insulin-based IR assessments is complicated. Therefore, we explored the relationship between four non-insulin-based IR indices and post-stroke depression (PSD).

Patients and Methods


A total of 638 consecutive AIS patients were enrolled in this prospective cohort study. Clinical data were collected to compute indices such as the triglyceride glucose (TyG) index, triglyceride glucose-body mass index (TyG-BMI), insulin resistance metabolic score (METS-IR), and triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C). One month post-stroke, neuropsychological assessments were conducted using the 17-item Hamilton Depression Scale. Binary logistic regression analysis was performed to explore the relationship between the four non-insulin-based IR indices and PSD.

Results


Ultimately, 381 patients completed the 1-month follow-up, including 112 (29.4%) with PSD. The PSD group exhibited significantly higher levels of the four IR indices compared to the non-PSD group. Logistic regression analysis demonstrated that these indicators were independently associated with PSD occurrence, both before and after adjusting for potential confounders (all P < 0.001). Tertile analyses indicated that the highest tertile group had a greater risk of PSD occurrence than the lowest tertile group for four IR indicators, even after adjusting for potential confounders (all P < 0.05). Restricted cubic spline analysis revealed a linear dose-response relationship between the four IR indices and PSD. In the subgroup analysis, only the TyG index showed a significant interaction with diabetes (P for interaction = 0.014). The area under curve values for the TyG index, TyG-BMI, METS-IR, and TG/HDL-C were 0.700, 0.721, 0.711, and 0.690, respectively.

Conclusion


High TyG index, TyG-BMI, METS-IR, and TG/HDL-C at baseline were independent risk factors for PSD in AIS. Each of these indicators exhibits predictive value for PSD occurrence, aiding in the early identification of high-risk groups.

Post-stroke depression, stroke recovery, neurological disorders, cognitive impairment, mood disorders, rehabilitation, serotonin imbalance, brain injury, psychological therapy, antidepressants, mental health, stroke survivors, emotional support, neuroplasticity, caregiver burden, quality of life, psychosocial factors, behavioral therapy, SSRI, early intervention,

#PostStrokeDepression, #StrokeRecovery, #MentalHealth, #NeurologicalDisorders, #BrainInjury, #DepressionAwareness, #StrokeSurvivors, #CognitiveHealth, #MoodDisorders, #RehabilitationMatters, #SerotoninBalance, #EmotionalSupport, #Neuroplasticity, #CaregiverSupport, #QualityOfLife, #PsychologicalTherapy, #BehavioralTherapy, #SSRI, #EarlyIntervention, #MentalWellness


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