Evaluation of the Pharmacologic Treatment of COVID-19 Pandemic in Iraq.
Omeed DarweeshGhayth M AbdulrazzaqRadhwan N Al-ZidanPshtiwan BebaneMarwan MerkhanRuya AldabbaghNohad AlOmariPublished in: Current pharmacology reports (2021)
The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, or COVID-19) has been detrimental to human health, economy, and wellbeing. Little information is known on the epidemiology and outcome of the disease in a localized community within Iraq. We carried out an audit of confirmed cases of COVID-19 in the Kirkuk General Hospital. Data from the 20th of June to the 31st of July, 2020, were collected and analyzed. Suspected COVID-19 cases were confirmed by real-time polymerase chain reaction (RT-PCR). Data on clinical symptoms, age, and treatment protocols were analyzed concerning the outcome. Our study included a total of 200 individual confirmed COVID-19 patients. The majority of cases 55% (n = 110) displayed severe symptoms, while 32.5% (65 cases) and 12.5% (25 cases) of patients displayed moderate to mild symptoms, respectively. The rate of death in the referred patients was 5%. Most patients admitted to the hospital for treatment recovered and were discharged from the hospital within 5 to 30 days post-diagnosis. Statistical analysis revealed that patients treated with oseltamivir, hydroxychloroquine, and azithromycin in combination with vitamins C and D have shorter hospital stay compared to patients receiving the same therapeutic protocol in combination with steroids. Moreover, a higher mortality rate (4.5%) was observed in patients treated with oseltamivir, hydroxychloroquine, ceftriaxone, and steroids. This study highlights a significant relationship between age, secondary ailments, and the choice of medications as simple predictors of the outcome of COVID-19.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- coronavirus disease
- end stage renal disease
- healthcare
- newly diagnosed
- chronic kidney disease
- randomized controlled trial
- ejection fraction
- peritoneal dialysis
- risk assessment
- prognostic factors
- acute care
- adverse drug
- type diabetes
- mental health
- machine learning
- emergency department
- electronic health record
- cardiovascular disease
- big data
- health information