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Objective: Our study investigated the association between the level of HbA1c (glycated hemoglobin) at admission and the prognosis of aneurysmal subarachnoid hemorrhage (SAH)., Methods: A total of 510 patients treated with neuro-intervention for aneurysmal SAH and with data for admission HbA1c (glycated hemoglobin) were included. Favorable clinical outcome was defined as modified Rankin Scale (mRS) score of 0-2 at 3 months. Receiver operating characteristic (ROC) curve analysis was used to identify the optimal cutoff value of HbA1C for unfavorable clinical outcomes. Logistic regression was used to evaluate the association between HbA1C level and outcomes., Results: The optimal cutoff value of HbA1C was identified as 6.0% (P < 0.001), and patients with a high HbA1C (≥ 6.0%) had a lower prevalence of favorable clinical outcomes than patients with low HbA1C (< 6.0%) (P < 0.001). High HbA1C (≥ 6.0%) was independently associated with unfavorable clinical outcome (OR 2.84; 95% CI: 1.52-5.44; P = 0.004). The risk of unfavorable clinical outcome was significantly increased in patients with HbA1C (≥ 7.0%, < 8%) and HbA1C (≥ 8.0%) compared with lower baseline HbA1C (≥ 6.0%, < 7%) values (OR 2.17; 95% CI: 1.87-5.13; P = 0.011 and OR 4.25; 95% CI: 3.17-8.41; P = 0.005)., Conclusion: Our study showed that HbA1C could be an independent predictor of worse outcomes following neuro-intervention for aneurysmal SAH. High HbA1C (≥ 6.0%) was associated with unfavorable clinical outcomes, and gradual elevation of HbA1C contributed to an increase in the risk of worse clinical outcomes after SAH., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background: It is important to assess how well patients respond to their medical treatments by observing the results that appear during the clinical treatments. As such, the clinical treatments and results must obtain information on how effective recommended treatments were for patients with diabetes., Objective: This study examines how patients with diabetes mellitus responded towards their clinical treatments, where the probability distribution of patients and the types of treatment received were derived from the Rasch probabilistic model., Methods: This is a retrospective study wherein data were collected from patients' medical records at a local public hospital in Selangor, Malaysia. Clinical and demographic information such as fasting blood glucose, hemoglobin A1c (HbA1c), family history, type of diabetes (type 1 or type 2), types of medication (oral or insulin), compliance with treatments, gender, race and age were chosen as the agents of measurement., Results: The use of Rasch analysis in the present study helped to compare the patients' responses towards the DM treatments and identify the types of treatment they received. Results from the Wright map show that a majority of the diabetes mellitus patients who were diagnosed with type 2 diabetes have no controlled readings of HbA1c during their first and second visits to the medical center. However, patients with a family history of diabetes mellitus who took oral medication have controlled readings of fasting blood glucose based on the probabilistic outcomes of the treatment received by the patients., Conclusion: Controlled readings were found only in the readings of fasting blood glucose during the first and second visits, followed by family history, types of medication received, and compliance with the treatment. This study has recommended that type 2 patients with diabetes without a family history of diabetes mellitus need to exercise more control over the readings of HbA1c., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)