ABSTRACT
BACKGROUND: In coronavirus disease 2019 (COVID-19) patients, risk stratification based on clinical presentation, co-morbid illness, and combined laboratory parameters is essential to provide an adequate, timely intervention based on an individual's conditions to prevent mortality among cases. METHODS: A retrospective observational study was carried out from June to October 2020, including all reverse transcription-polymerase chain reaction (RT-PCR) positive COVID-19 non-survivors and control group survivors randomly selected after age and sex matching. Clinical and demographic information was collected from the medical records. Categorical variables were expressed by frequency and percentage. To explore the risk factors associated with mortality, univariable and multivariable logistic regression models were used. RESULTS AND DISCUSSIONS: All non-survivors (n = 100) and 100 survivors (out of 1,018) were analyzed. Male gender (67.4%) was the independent risk factor for COVID-19 infection. Advanced age group, diabetes, cardiovascular, neurological, and hypertensive co-morbidities were statistically associated with mortality. Cardiac arrest and acute kidney injury (AKI) were the most common complications. Mortality is significantly associated with lymphopenia and raised lactate dehydrogenase (LDH), as shown by higher odds. In addition, raised neutrophils, monocytes, aspartate aminotransferase (AST), serum creatinine, interleukin 6 (IL-6), and C-reactive protein (CRP) are also significantly associated with mortality. The most common causes of death were respiratory failure (84%) and acute respiratory distress syndrome (77%). Of the non-survivors, 92% received corticosteroids, 63% were on high-flow nasal cannula oxygen therapy, 29% were mechanically ventilated, and 29% received tocilizumab. CONCLUSION: Serial monitoring of neutrophils, lymphocytes, D-dimer, procalcitonin, AST, LDH, CRP, IL-6, serum creatinine, and albumin might provide a reliable and convenient method for classifying and predicting the severity and outcomes of patients with COVID-19.
ABSTRACT
Objective To study the trends of arrhythmia hospitalizations with comorbid alcohol use disorders (AUDs) in terms of demographic characteristics and inpatient outcomes. Methods We used the Nationwide Inpatient Sample (NIS) data from 2010 to 2014 and included 570,556 arrhythmia inpatients (age, 15-54 years), and 55,730 inpatients had comorbid AUD. We used the linear-by-linear association test for measuring the differences in demographics, comorbidities, and hospital outcomes over the study period of 2010 to 2014, and the analysis of variance (ANOVA) for measuring the changes seen in the length of stay (LOS) and total charges. Results Arrhythmia inpatients with AUD were majorly males (85.9%), and older-age adults (45 to 54 years, 68%). Hypertension (52.2%), tobacco abuse (42.3%), and elevated cholesterol and lipids (22.6%) were the most prevalent comorbidities in the study population. There was a statistically significant increasing trend in arrhythmia inpatients with AUD with comorbid diabetes, hypertension, and obesity over the five-year period. In-hospital mortality had a variable trend from 1.1% in 2010 to 1.3% in 2014, but there was a statistically non-significant difference in the trend (P = 0.418). Mean LOS was three days with statistically no significant change during the study period (P = 0.080), whereas total charges have been increasing significantly (P <0.001), averaging $37,473 per hospitalization. Conclusion The prevalence trend of arrhythmia hospitalizations with comorbid AUD is increasing in the United States population, and is majorly seen in older-age men. Overall, in-hospital mortality in arrhythmia inpatients with comorbid AUD was 1.4%. So, this necessitates the development of an integrated clinical care model for early diagnosis and management of alcohol abuse and dependence in order to improve the arrhythmia patient outcomes and quality of life.
ABSTRACT
Quetiapine is a second-generation antipsychotic (SGA) approved by the Food and Drug Administration (FDA) for the treatment of schizophrenia, mania, and aggression in children and adolescents. It is also commonly used as an off-label medication to treat children and adolescents with bipolar depression, although the FDA has not approved quetiapine for this purpose. We conducted a systematic review of randomized clinical trials (RCTs) using the MEDLINE database and included two studies that met our inclusion criteria. Both RCTs were eight-week short-term studies that involved patients of 10-18 years of age with a Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) diagnosis of bipolar disorder, depressed type. The mean difference in the Children's Depression Rating Scale-Revised (CDRS-R) score and the response and remission rates in the quetiapine group were not statistically significant when compared to the placebo group. A high placebo response rate proved that quetiapine was no better than the placebo in treating pediatric bipolar depression. Quetiapine proved to be a relatively safe drug with the most common side effects being headache, somnolence, gastric upset, and weight gain. There was a significant increase in triglyceride levels, but no other metabolic effects were reported. This calls for future studies with larger sample sizes and improved methodology to explore the efficacy of quetiapine and other SGAs for the management of pediatric bipolar depression.
ABSTRACT
Melatonin is a hormone produced by the pineal gland and is available over the counter for treating sleep problems in the pediatric population. We conducted a systematic review of randomized clinical trials (RCTs) on MEDLINE and included six studies that met our inclusion criteria. RCTs were conducted in patients from two to 18 years of age with a diagnostic and statistical manual of mental disorders (DSM)-IV diagnosis of autism spectrum disease (ASD) and/or attention-deficit hyperactivity disorder (ADHD) in both short-term and long-term RCTs ranging from eight-week to 52-week studies. The mean difference in the children's sleep disorder showed statistically significant improvement in sleep duration and sleep latency onset compared to the placebo. Overall, a high response rate was observed in the melatonin group compared to the placebo in treating sleep problems in children. Melatonin is a well-tolerated and safe medication in the dose range of 2-10 mg/day in the child and adolescent population.
