Background Emergence of coronavirus disease 2019 (COVID‐19) is a major healthcare threat. Apparently, the novel coronavirus (SARS‐CoV‐2) is armed by special abilities to spread and dysregulate the immune mechanisms. The likelihood of oropharyngeal candidiasis (OPC) development in COVID‐19 patients with a list of attributable risk factors for oral infections has not yet been investigated. Objectives We here aim to investigate the prevalence, causative agents, and antifungal susceptibility pattern of OPC in Iranian COVID‐19 patients. Patients and Methods A total of 53 hospitalized COVID‐19 patients with OPC were studied. Relevant clinical data were mined. Strain identification was performed by 21‐plex PCR and sequencing of the internal transcribed spacer region (ITS1‐5.8S‐ITS2). Antifungal susceptibility testing to fluconazole, itraconazole, voriconazole, amphotericin B, caspofungin, micafungin and anidulafungin was performed according to the CLSI broth dilution method. Results In 53 COVID‐19 patients with OPC, cardiovascular diseases (52.83 %), and diabetes (37.7 %) were the principal underlying conditions. The most common risk factor was lymphopenia (71%). In total, 65 Candida isolates causing OPC were recovered. C. albicans (70.7%) was the most common, followed by C. glabrata (10.7%), C. dubliniensis (9.2%), C. parapsilosis sensu stricto (4.6%), C. tropicalis (3%), and Pichia kudriavzevii (= C. krusei , 1.5%). Majority of the Candida isolates were susceptible to all three classes of antifungal drugs. Conclusion Our data clarified some concerns regarding the occurrence of OPC in Iranian COVID‐19 patients. Further studies should be conducted to design an appropriate prophylaxis program and improve management of OPC in critically ill COVID‐19 patients.

Highlights Ventricular arrhythmias can occur with concurrent use of azithromycin (AZM) and hydroxychloroquine (HCQ). Combination therapy with HCQ+AZM can reduce the hospital length of stay in COVID-19 patients. Preparatory risk assessment can limit the risk of arrhythmia in patients receiving HCQ+AZM combination therapy.

Background The clinical course of COVID-19 may vary significantly. The presence of comorbidities prolongs the recovery time. The recovery in patients with mild-to-moderate symptoms might take 10 days, while in those with a critical illness or immunocompromised status could take 15 days. Considering the lack of data about predictors that could affect the recovery time, we conducted this study to identify them. Methods This cross-sectional study was implemented in the COVID-19 clinic of a teaching and referral university hospital in Tehran. Patients with the highly suggestive symptoms who had computed tomography (CT) imaging results with typical findings of COVID-19 or positive results of reverse transcriptase-polymerase chain reaction (RT-PCR) were enrolled in the study. Inpatient and outpatient COVID-19 participants were followed up by regular visits or phone calls, and the recovery period was recorded. Results A total of 478 patients were enrolled. The mean age of patients was 54.11 ± 5.65 years, and 44.2% were female. The median time to recovery was 13.5 days (IQR: 9). Although in the bivariate analysis, multiple factors, including hypertension, fever, diabetes mellitus, gender, and admission location, significantly contributed to prolonging the recovery period, in multivariate analysis, only dyspnea had a significant association with this variable (p = 0.02, the adjusted OR of 2.05; 95% CI 1.12–3.75). Conclusion This study supports that dyspnea is a predictor of recovery time. It seems like optimal management of the comorbidities plays the most crucial role in recovery from COVID-19.