Effects of atypical antipsychotics on serum asprosin level and other metabolic parameters in patients with schizophrenia.

BACKGROUND: In this cross-sectional study, we compared fasting serum asprosin levels and metabolic parameters between patients receiving one of three atypical antipsychotics (olanzapine, risperidone, or aripiprazole) and healthy subjects. METHODS: The study population included 62 adult outpatients with schizophrenia and 22 healthy controls, matched for age and gender. Patients were in remission and had been on stable monotherapy with one of these atypical antipsychotics for over 6 months. Body Mass Index (BMI) and fasting serum levels of asprosin, glucose, HA1c, insulin, and lipid profile were compared across the investigated groups. Additionally, the number of participants meeting the insulin resistance criterion, defined as homeostasis model assessment for insulin resistance (HOMA-IR) >2.5, as well as the number of participants with elevated BMI levels (men >27 kg/m2, women >25 kg/m2) were compared among the groups. RESULTS: We observed statistically significant differences in BMI and fasting serum levels of glucose, HA1c, insulin, triglyceride (TG), high-density lipoprotein cholesterol, and asprosin among patients receiving olanzapine or risperidone, as compared to those receiving aripiprazole and healthy subjects. Patients on aripiprazole exhibited values comparable to healthy subjects, whereas those on risperidone or olanzapine showed significantly higher values, with the highest observed in the olanzapine group. Additionally, the prevalence of participants meeting the insulin resistance criterion and those with elevated BMI was also greater in individuals receiving olanzapine or risperidone compared to those on aripiprazole and healthy subjects. Serum asprosin levels showed a significant positive correlation with BMI and several metabolic parameters, including HbA1c, fasting insulin, HOMA-IR, and TG. No significant differences were observed among the investigated groups in terms of serum levels of total cholesterol and low-density lipoprotein cholesterol. CONCLUSIONS: Our cross-sectional study highlights the association between elevated asprosin levels, weight gain, and metabolic disorders in patients treated with olanzapine and risperidone. Given the bidirectional nature of the relationship between serum asprosin levels and these metabolic disturbances, further research is warranted to elucidate potential causative pathways.

Prevention of contrast induced-acute kidney injury using coenzyme Q10 in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention.

PURPOSE: We assessed the potential effect of CoQ10 administration for the prevention of contrast induced-acute kidney injury (CI-AKI) in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI). METHODS: One hundred fifty STEMI patients who were candidates for primary PCI, along with intravenous saline hydration, randomly received a placebo or CoQ10. CoQ10 was administrated orally, 400 mg before the procedure and 200 mg twice daily after the procedure for three consecutive days. Serum creatinine concentration and corresponding creatinine clearance (estimated by the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation) were measured at baseline and 24, 48, and 72 h after primary PCI. Furthermore, the serum level of superoxide dismutase (SOD), total antioxidant capacity (TAC), and malondialdehyde (MDA) was measured before and 72 h after primary PCI. RESULTS: The mean serum creatinine concentration before contrast administration was similar in the two groups (0.98 ± 0.08 versus 0.99 ± 0.09 mg/dL). While in both study groups, compared to baseline, the mean serum creatinine concentration increased at 48 and 72 h after contrast exposure, the CoQ10 group showed a lower serum creatinine concentration than the placebo group (P-value = 0.017 and 0.004, respectively). However, comparing the mean values of creatinine clearance between the groups at the study time points did not demonstrate a statistically significant difference. CI-AKI, defined as a > 25% or 0.5 mg/dL increase in baseline serum creatinine concentration, occurred in 8.00% of the cases in the CoQ10 group versus 20.00% in the placebo group (P-value = 0.034). Furthermore, at 72 h, the CoQ10-treated group exhibited higher serum levels of SOD and TAC and a lower MDA level than the placebo-treated group. CONCLUSIONS: Our research's findings proposed CoQ10 supplementation as an adjuvant to saline hydration as a preventive approach against CI-AKI. TRIAL REGISTRATION: The trial was registered at Iranian Registry of Clinical Trials ( https://www.irct.ir/trial/60435 , identifier code: IRCT20120215009014N414). Registration date: 2021-12-29.

Impact of Clinical Pharmacist-conducted Medication Reconciliation at Admission and Discharge on Medication Safety in Patients Hospitalized with Acute Decompensated Heart Failure.

BACKGROUND: Most studies have focused on the impact of medication reconciliation on one of the points of hospital admission or discharge. In this study, we aimed to investigate the impact of medication reconciliation at both admission and discharge on medication safety in patients hospitalized with acute decompensated heart failure. METHODS: This was a prospective, single-center, cohort study conducted in a tertiary care cardiovascular hospital from October 2022 to March 2023 on patients hospitalized with acute decompensated heart failure. Patients were considered eligible if they were taking at least five chronic medications prior to hospital admission. Medication reconciliation was carried out for the study patients by a clinical pharmacy team both at admission and discharge. Further, the study patients also received comprehensive discharge counseling as well as post-discharge follow-up and monitoring. RESULTS: Medication reconciliation was applied for 129 patients at admission and 118 of them at discharge. The mean time needed for medication reconciliation presses was 32 min per patient on admission and 22min per patient on discharge. Unintentional medication discrepancies were relatively common both at admission and discharge in the study participants, but compared to admission, discrepancies were less frequent at discharge (178 versus 72). Based on the consensus review, about 30% of identified errors detected at both admission and discharge were judged to have the potential to cause moderate to severe harm to the patient, and most of the clinical pharmacists' recommendations on unintended discrepancies were accepted by physicians and resulted in changes in medication orders (more than 80%). Further, the majority of the participants were 'very satisfied' or 'satisfied' with the clinical pharmacy services provided to them during hospitalization and after hospital discharge (89.90%). CONCLUSIONS: Our results demonstrated that heart failure patients are vulnerable to medication discrepancies both at admission and discharge and implementing a comprehensive medication reconciliation by clinical pharmacists could be helpful in improving medication safety in these patients.

Comparison between proactive and retroactive models of medication reconciliation in patients hospitalized for acute decompensated heart failure.

BACKGROUND: Most research on the impact of medication reconciliation on patient safety focused on the retroactive model, with limited attention given to the proactive model. OBJECTIVE: This study was conducted to compare the proactive and retroactive models in patients hospitalized for acute decompensated heart failure. METHODS: This prospective, quasi-experimental study was conducted over six months, from June to November 2022, at the cardiology unit of an academic hospital in Iran. Eligible patients were those hospitalized for acute decompensated heart failure using a minimum of five regular medications before admission. Medication reconciliation was performed in 81 cases using the proactive model and in 81 using the retroactive model. RESULTS: 556 medications were reconciled using the retroactive model, and 581 were reconciled using the proactive model. In the retroactive cases, 341 discrepancies (both intentional and unintentional) were identified, compared to 231 in the proactive cases. The proportion of patients with at least one unintentional discrepancy was significantly lower in the proactive cases than in the retroactive cases (23.80% versus 74.03%). Moreover, the number of unintentional discrepancies was significantly lower in the proactive cases compared to the retroactive cases (22 out of 231 discrepancies versus 150 out of 341 discrepancies). In the retroactive cases, medication omission was the most frequent type of unintentional discrepancy (44.00). About, 42.70% of reconciliation errors detected in the retroactive cases were judged to have the potential to cause moderate to severe harm. While the average time spent obtaining medication history was similar in both models (00:27 [h: min] versus 00:30), the average time needed to complete the entire process was significantly shorter in the proactive model compared to the retroactive model (00:41 min versus 00:51). CONCLUSION: This study highlighted that the proactive model is a timely and effective method of medication reconciliation, particularly in improving medication safety for high-risk patients.

Comparison of the effects of empagliflozin and sitagliptin, as add-on to metformin, on serum levels of asprosin and metabolic parameters in patients with type 2 diabetes mellitus.

The effect of sitagliptin and empagliflozin on serum levels of asprosin and metabolic parameters in patients with type 2 diabetes mellitus (T2DM) was assessed in a non-randomized, prospective observational study. Seventy-nine T2DM patients, without adequate glycemic control with metformin monotherapy, were included in the study. In addition to the ongoing metformin treatment, patients received sitagliptin 100 mg and empagliflozin 10 mg once daily for 12 weeks. Anthropometric parameters, lipid and glycemic profile, insulin resistance (homeostasis model assessment of insulin resistance index [HOMA-IR]), and asprosin serum levels were assessed at baseline and after 12 weeks of therapy. Both empagliflozin and sitagliptin treatments led to similar, significant improvement in fasting blood glucose (FBG) and hemoglobin A1C (HbA1C). Compared to baseline, triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C) were improved with both treatments, but empagliflozin led to the more improvement. No significant change of total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) were observed in either group. Insulin resistance was significantly attenuated in both groups, but to a greater degree with empagliflozin treatment. The reduction in serum asprosin levels from baseline was significantly higher in patients taking empagliflozin compared to those receiving sitagliptin. Additionally, individuals on empagliflozin exhibited a more decrease in body mass index (BMI) and body weight compared to those on sitagliptin. According to our findings, the addition of empagliflozin to metformin appeared to offer greater benefits compared to the addition of sitagliptin in terms of decreasing asprosin levels and improving certain metabolic parameters in T2DM patients.