The effect of post-anesthetic administration of dexmedetomidine versus remifentanil on postoperative agitation of strabismus surgery in children: a randomized double-blind clinical trial.

Introduction: Postoperative agitation is a common complication of sevoflurane anesthesia in children and might lead to self-harm and recovery disruption. This study aimed to compare the prophylactic effect of dexmedetomidine and remifentanil on postoperative agitation after anesthesia with sevoflurane. Methods: In this clinical trial, 60 children aged 2 to 7 years with ASA class І, II, candidates for elective strabismus surgery, were randomly assigned to three groups using block randomization. Patients in the first group D received 0.5 µgr/kg dexmedetomidine, the second group R received 0.1 µgr/kg remifentanil, and another group C received normal saline at the end of anesthesia. Children's agitation degree was measured by the Pediatric Anesthesia Emergence Delirium (PAED) scales and the 4-point agitation scale at the time of extubation, entering the recovery room, 10, 20, and 30 minutes after entrance. Data analysis was performed using descriptive and inferential statistical tests. Results: The postoperative agitation and pain were significantly lower among children who received dexmedetomidine compared with those in remifentanil and the control group (p < .001). It was observed that the administration of dexmedetomidine at the end of anesthesia significantly decreased the incidence of postoperative agitation (p < .001). None of the patients in group D had a PAED score of over 12. Conclusion: Based on PAED and the 4-point scales, none of the cases in group D had experienced postoperative agitation; this made a significant statistical difference compared with groups C and R (p-value <. 001). Although both dexmedetomidine and remifentanil can prevent and attenuate postoperative agitation, dexmedetomidine administration seems significantly more effective.

Evaluation and comparison of antifungal effect of voriconazole with nystatin on candida species derived from neoplastic patients undergoing maxillofacial radiotherapy.

Background: Radiotherapy is a common treatment for head-and-neck malignancies and causes complications such as oral candidiasis and the change of oral Candida species from albicans to nonalbicans. Voriconazole has acceptable antifungal effect. The aim of this study was to determine and compare the antifungal effect of nystatin with voriconazole on these species. Materials and Methods: The samples used in this in vitro study were identified by polymerase chain reaction-restriction fragment length polymorphism from patients before and 2 weeks after head-and-neck radiotherapy in Seyed Al-Shohada Hospital. The antifungal effect of nystatin and voriconazole was determined by microdilution method and measurement of the minimum inhibitory concentration (MIC) and the minimum fungicidal concentration, and the results were analyzed by Mann-Whitney analysis. Results: The results showed that all species before and after radiotherapy showed 100% sensitivity to nystatin. Prior to radiotherapy, 57.1% of albicans species isolated were in the sensitive range (MIC ≤1) and 42.9% were in the dose-dependent range (MIC = 2) to voriconazole. After radiotherapy, 58.3% of albicans species were in the sensitive range and 41.7% of these species were in the dose-dependent range to voriconazole. Conclusion: The results of the present study showed that before radiotherapy, all species were sensitive to nystatin, while a percentage of albicans and nonalbicans were resistant to voriconazole. In the 2nd week of radiotherapy similar to prior to radiotherapy, all species isolated from patients were sensitive to nystatin, while a percentage of albicans and nonalbicans were resistant to voriconazole.

Comparison of oral candidiasis characteristics in head-and-neck cancer patients before and during radiotherapy.

Background: Patients undergoing head-and-neck radiotherapy are susceptible to Candida colonization and infection. This study aimed to identify oral Candida species type (ST), colony count (CC), and oropharyngeal candidiasis (OPC) in head-and-neck cancer patients, undergoing radiotherapy, before and 2 weeks after radiation. Materials and Methods: In this quasi-experimental study, head-and-neck cancer patients undergoing radiotherapy (up to 6000 cGy) were recruited. Samples were taken before and 2 weeks after radiation therapy (RT). CC was assigned using Sabouraud dextrose agar culture medium and morphological studies were performed to confirm OPC. For identification, polymerase chain reaction-restriction fragment length polymorphism was performed. Data were analyzed using Chi-square-test and kappa coefficient. P < 0.05 was considered statistically significant. Results: Twenty-one of 33 patients were Candida positive. The detected fungal species included Candida albicans (60%), Candida tropicalis (22%), Candida glabrata (9%), and other species (9%). Following RT, OPC and CC changed significantly (P = 0.003 and P = 0.001, respectively), whereas ST did not significantly change (P = 0.081). Two new species (Candida krusei and Candida parapsilosis) were detected after the intervention. The OPC, CC, and ST changes after RT were not significantly related to malignancy site or radiation dose (P > 0.05). Conclusion: The present study showed that OPC, CC, and ST were not related to the malignancy site. Following RT, OPC and CC changed significantly, while ST showed no significant change. The radiation dose and malignancy site had no effects on the OPC, CC, or ST alterations following RT.

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods.

One of the most critical challenges in managing complex diseases like COVID-19 is to establish an intelligent triage system that can optimize the clinical decision-making at the time of a global pandemic. The clinical presentation and patients' characteristics are usually utilized to identify those patients who need more critical care. However, the clinical evidence shows an unmet need to determine more accurate and optimal clinical biomarkers to triage patients under a condition like the COVID-19 crisis. Here we have presented a machine learning approach to find a group of clinical indicators from the blood tests of a set of COVID-19 patients that are predictive of poor prognosis and morbidity. Our approach consists of two interconnected schemes: Feature Selection and Prognosis Classification. The former is based on different Matrix Factorization (MF)-based methods, and the latter is performed using Random Forest algorithm. Our model reveals that Arterial Blood Gas (ABG) O2 Saturation and C-Reactive Protein (CRP) are the most important clinical biomarkers determining the poor prognosis in these patients. Our approach paves the path of building quantitative and optimized clinical management systems for COVID-19 and similar diseases.

Comparison of the antifungal effect of voriconazole and fluconazole on oral candidiasis before and during radiotherapy.

Background: Head-and-neck radiotherapy can change oral Candida species and cause candidiasis resistance to common antifungals by making the changes to the oral cavity environment. Voriconazole is a synthetic azole with extensive antifungal activity. The current study aimed at comparing the antifungal activity of fluconazole and voriconazole on Candida species isolated from the oral cavity of patients undergoing head-and-neck radiotherapy. Materials and Methods: The present in vitro study was performed on samples isolated from patients undergoing head-and-neck radiotherapy, before and during radiotherapy. After the identification of the species, the antifungal effect of fluconazole and voriconazole was determined by the microdilution method, and the minimum inhibitory concentration (MIC), the minimum fungicidal concentration, and the antifungal susceptibility of the isolated strains were also measured. The data were analyzed by the Chi-squared and then two-sided Fisher's exact tests. P < 0.05 was considered statistically significant. Results: The study findings showed no significant difference in the susceptibility of Candida albicans to voriconazole and fluconazole before and during radiotherapy. Before radiotherapy, both voriconazole and fluconazole had similar effects on Candida tropicalis, but after radiotherapy, voriconazole was less effective. However, both before and during radiotherapy, fluconazole had a greater antifungal effect than voriconazole on Candida glabrata strains. The MICs of voriconazole and fluconazole for both Candida parapsilosis and Candida krusei isolates were within the susceptible or dose-dependent range. Conclusion: The current study results showed that voriconazole was not more effective than fluconazole in the treatment of oral candidiasis in patients undergoing head-and-neck radiotherapy.

Decoding Clinical Biomarker Space of COVID-19: Exploring Matrix Factorization-based Feature Selection Methods.

One of the most critical challenges in managing complex diseases like COVID-19 is to establish an intelligent triage system that can optimize the clinical decision-making at the time of a global pandemic. The clinical presentation and patients’ characteristics are usually utilized to identify those patients who need more critical care. However, the clinical evidence shows an unmet need to determine more accurate and optimal clinical biomarkers to triage patients under a condition like the COVID-19 crisis. Here we have presented a machine learning approach to find a group of clinical indicators from the blood tests of a set of COVID-19 patients that are predictive of poor prognosis and morbidity. Our approach consists of two interconnected schemes: Feature Selection and Prognosis Classification. The former is based on different Matrix Factorization (MF)-based methods, and the latter is performed using Random Forest algorithm. Our model reveals that Arterial Blood Gas (ABG) O 2 Saturation and C-Reactive Protein (CRP) are the most important clinical biomarkers determining the poor prognosis in these patients. Our approach paves the path of building quantitative and optimized clinical management systems for COVID-19 and similar diseases.

The relationship between hostility and anger with coronary heart disease in patients.

BACKGROUND: Cardiovascular disease accounts for 40% of the world's fatality and after accidents and traumas, is the second leading cause of death in Iran. Given the role of psychological characteristics such as hostility and anger in the development of certain behaviors and habits affecting heart problems, this study aimed to investigate the relationship between hostility and anger with coronary artery disease. METHODOLOGY: In this cross-sectional study, 320 patients referring to the hospital with coronary artery stenosis enrolled in the study and were available for angiography. Data collection tools included demographic and disease status questionnaires and aggression questionnaire. The data were analyzed by SPSS software version 16, and Spearman's correlation coefficient, Student's t-, and one-way analysis of variance tests was used for the statistical analysis. RESULTS: In this case, we have the following. Out of 302 cases, 183 were males and 119 were females. One hundred and ninety-seven patients with coronary artery disease and 105 patients with angiography had no coronary artery disease. CONCLUSION: People with coronary artery disease and healthy controls had no significant differences in demographic characteristics, history of illness, and education. Furthermore, there was no statistically significant relationship between hostility and anger with vasoconstriction. Since there is no relationship between hostility and anger with coronary artery disease, further studies are needed to investigate the presence of mediating variables to design appropriate and preventive interventions.