Effect of the chronic medication use on outcome measures of hospitalized COVID-19 patients: Evidence from big data.

Background: Concerns about the role of chronically used medications in the clinical outcomes of the coronavirus disease 2019 (COVID-19) have remarkable potential for the breakdown of non-communicable diseases (NCDs) management by imposing ambivalence toward medication continuation. This study aimed to investigate the association of single or combinations of chronically used medications in NCDs with clinical outcomes of COVID-19. Methods: This retrospective study was conducted on the intersection of two databases, the Iranian COVID-19 registry and Iran Health Insurance Organization. The primary outcome was death due to COVID-19 hospitalization, and secondary outcomes included length of hospital stay, Intensive Care Unit (ICU) admission, and ventilation therapy. The Anatomical Therapeutic Chemical (ATC) classification system was used for medication grouping. The frequent pattern growth algorithm was utilized to investigate the effect of medication combinations on COVID-19 outcomes. Findings: Aspirin with chronic use in 10.8% of hospitalized COVID-19 patients was the most frequently used medication, followed by Atorvastatin (9.2%) and Losartan (8.0%). Adrenergics in combination with corticosteroids inhalants (ACIs) with an odds ratio (OR) of 0.79 (95% confidence interval: 0.68-0.92) were the most associated medications with less chance of ventilation therapy. Oxicams had the least OR of 0.80 (0.73-0.87) for COVID-19 death, followed by ACIs [0.85 (0.77-0.95)] and Biguanides [0.86 (0.82-0.91)]. Conclusion: The chronic use of most frequently used medications for NCDs management was not associated with poor COVID-19 outcomes. Thus, when indicated, physicians need to discourage patients with NCDs from discontinuing their medications for fear of possible adverse effects on COVID-19 prognosis.

Utility of Seizure Pattern and Related Clinical Features in the Diagnosis of Neurometabolic Disorders.

OBJECTIVES: The current study aimed at identifying the role of seizure types and related clinical features in differentiation between neurometabolic disorders and other causes of seizure. MATERIALS & METHODS: The current cross sectional study was conducted at two referral children hospitals in Tehran, Iran, from 2011 to 2018. The study population included 120 patients presenting with seizure due to neurometabolic disorders and 120 cases due to other causes. The types of seizure and related clinical findings were assessed in both groups. RESULTS: There was a significant difference in the frequency of seizure types in the two groups. Tonic and myoclonic seizures as well as infantile spasm were observed more commonly in the patients with neurometabolic disorders, while atonic, partial and generalized tonic-clonic seizures were more common in the control group. In addition, frequency of refractory seizure, age at onset of seizure, and pattern of involvement in brain imaging were helpful for differentiation. CONCLUSION: The pattern of seizure and related findings varied in patients with metabolic disorders, and was helpful for diagnosis. Thus, these factors can contribute to early diagnosis and treatment.

Determination of antibiotics consumption in buali-sina pediatric hospital, sari 2010-2011.

The increasing prevalence of antibiotic-resistant bacteria is a major health-care problem worldwide. WHO recommends DID (daily defined dose per 100 Inhabitant per day) as a standard tool for measurement of antibiotic consumption. Since there was not any information regarding the antibiotics usage pattern in the north of Iran, the aim of this study was determine this in our centre. This cross-sectional study was performed in Buali Sina hospital. Using the health information system (HIS) database, records of patients hospitalized during 22 Sep 2010 - 21 Sep 2011. Data of different wards including Neonatal, NICU, PICU, Pediatrics and Pediatric surgery were separately extracted and analyzed. Drug consumption data were expressed as DID. SPSS 16 software was used for statistical analysis. Independent samples t-test was used to compare the quantitative variables. A total of 4619 in-patients records during 1 year of study including 2494 patients in fall and winter and 2125 patients in spring and summer were evaluated. The most hospitalized patients were in Pediatric ward (43.9 %). The highest DID value were obtained for ceftriaxone (21.7), ampicillin (6.05) and vancomycin (4.7), while the lowest value was for gentamicin (0.01). In both cold and warm seasons, Ceftriaxone was the most frequent prescribed antibiotic. The rate of antibiotics consumption especially Ceftriaxone in our setting was significantly higher than the other centers. Strategies for more justified administration of antibiotics especially broad -spectrum ones are necessary.