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1.
Inflammopharmacology ; 30(5): 1645-1657, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1930472

ABSTRACT

BACKGROUND: It is known that severe acute respiratory coronavirus 2 (SARS-CoV-2) is the viral strain responsible for the recent coronavirus disease 2019 (COVID-19) pandemic. Current documents have demonstrated that the virus causes a PGE2 storm in a substantial proportion of patients via upregulating cyclooxygenase-2 (COX-2) and downregulating prostaglandin E2 (PGE2)-degrading enzymes within the host cell. AIM: Herein, we aimed to study how short-term treatment with celecoxib (Celebrex), a selective COX-2 inhibitor, affects demographic features, early symptoms, O2 saturation, and hematological indices of cases with COVID-19. METHODS: A total of 67 confirmed COVID-19 cases with a mild or moderate disease, who had been referred to an institutional hospital in south-eastern Iran from October 2020 to September 2021, were enrolled. Demographic characteristics, symptoms, and hematological indices of the patients were recorded within different time periods. One-way ANOVA or Kruskal-Wallis tests were used to determine differences between data sets based on normal data distribution. RESULTS: O2 saturation was statistically different between the control group and patients receiving celecoxib (p = 0.039). There was no marked difference between the groups in terms of the symptoms they experienced (p > 0.05). On the first days following Celebrex therapy, analysis of complete blood counts showed that white blood cell (WBC) counts were markedly lower in patients treated with a high dose of celecoxib (0.4 g/day) than in controls (p = 0.026). However, mean lymphocyte levels in patients receiving a high dose of celecoxib (0.4 g/day) were markedly higher than in patients receiving celecoxib with half of the dose (0.2 g/day) for one week or the untreated subjects (p = 0.004). Changes in platelet count also followed the WBC alteration pattern. CONCLUSION: Celecoxib is a relatively safe, inexpensive, and widely available drug with non-steroidal anti-inflammatory properties. The therapeutic efficacy of celecoxib depends on the administrated dose. Celecoxib might improve disease-free survival in patients with COVID-19.


Subject(s)
COVID-19 Drug Treatment , Cyclooxygenase 2 Inhibitors , Anti-Inflammatory Agents, Non-Steroidal/adverse effects , Celecoxib/therapeutic use , Cyclooxygenase 2 , Cyclooxygenase 2 Inhibitors/pharmacology , Cyclooxygenase 2 Inhibitors/therapeutic use , Dinoprostone , Humans , Pyrazoles/adverse effects , SARS-CoV-2 , Sulfonamides/pharmacology , Sulfonamides/therapeutic use
2.
BMC Infect Dis ; 22(1): 184, 2022 Feb 23.
Article in English | MEDLINE | ID: covidwho-1705888

ABSTRACT

BACKGROUND: Iran was one of the first countries to be affected by COVID-19. Identifying factors associated with the severity of COVID-19 is effective in disease management. This study investigated the epidemiological and clinical features and factors related to the severity of COVID-19 in one of the less privileged areas in Iran. METHODS: In a multi-center study, all patients admitted to Zahedan University of Medical Sciences hospitals in southeastern Iran were investigated from February 29 to April 31, 2020. Demographic, epidemiological, and clinical data of patients were extracted from medical records. Bivariate and multivariate logistic regression models were used to explore the risk factors associated with the severity of COVID-19. RESULTS: Among the 413 patients, 55.5% were male, and 145 (35.10%) were in a severe condition at admission time. Multivariate analysis showed that the adjusted odds of the disease severity increased in patients with older age (OR 2.27; 95% CI 1.41-3.65), substance abuse (OR 2.49; 95% CI 1.14-5.43), having one underlying disease (OR 1.52; 95% CI 0.90-2.55), having two underlying disease (OR 2.31; 95% CI 1.19-4.50), and having three or more underlying disease (OR 2.60; 95% CI 1.19-5.66). CONCLUSIONS: COVID-19 was more severe in older patients, patients with a history of substance abuse, and patients with the underlying disease. Understanding the factors affecting the disease severity can help the clinical management of COVID-19, especially in less privileged areas where fewer resources are available.


Subject(s)
COVID-19 , Aged , Hospitalization , Humans , Iran/epidemiology , Male , Retrospective Studies , Risk Factors , SARS-CoV-2
3.
Arch Iran Med ; 24(10): 733-740, 2021 10 01.
Article in English | MEDLINE | ID: covidwho-1535137

ABSTRACT

BACKGROUND: Clinical manifestations of COVID-19 are different. There are some risk factors for COVID-19. This study aimed to describe the epidemiological features, symptoms and mortality of the patients with COVID-19 in Iran. METHODS: This were a cohort study performed on 103,179 patients with COVID-19. The demographic and clinical data were collected in selected provinces. The required data of all patients was extracted from the COVID registry system and analyzed using STATA version 14 and Excel 2016. RESULTS: The mean age was 52.40 years for men and 52.41 years for women. About 55.2% of the study population were male and 44.8% were female. Totally, 60.9% (5085) of deaths happened in men and 39.1% (3263) in women. The mean time from onset of symptoms to hospitalization in men and women were 3.47 and 3.48 days, respectively. The mean time from onset of symptoms to isolation was 2.81 days in men and was 2.87 days in women, from onset of symptoms to death was 9.29 and 9.54 days, respectively, from onset of symptoms to discharge was 7.47 and 7.39 days, and from hospitalization to death was 6.76 and 7.05 days. Cough and shortness of breath were the most common symptoms in the patients. CONCLUSION: According to the results, the overall mortality rate was higher in men than women. Women with cardiovascular disease and diabetes were more likely to die. The mean time from onset of symptoms to hospitalization, isolation, and discharge was similar in men and women.


Subject(s)
COVID-19/epidemiology , Cough/physiopathology , Dyspnea/physiopathology , Hospitalization/statistics & numerical data , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , COVID-19/mortality , COVID-19/physiopathology , Cardiovascular Diseases/epidemiology , Child , Child, Preschool , Comorbidity , Diabetes Mellitus/epidemiology , Female , Humans , Iran/epidemiology , Length of Stay , Male , Middle Aged , Registries , SARS-CoV-2 , Sex Factors , Time Factors , Young Adult
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