BACKGROUND: To evaluate the demographic, clinical, and prognostic characteristics of patients diagnosed with COVID-19-associated mucormycosis (CAM) in Iranian patients.
METHODS: This prospective observational study was conducted in 8 tertiary referral ophthalmology centers in different provinces of Iran during the fifth wave of the COVID-19 pandemic. All patients were subjected to complete history taking and comprehensive ophthalmological examination and underwent standard accepted treatment strategy based on the disease stage.
RESULTS: Two hundred seventy-four CAM patients (most were males (150, 54.7%)) with a mean age of 56.8 ± 12.44 years were enrolled. Patients with a history of cigarette smoking (Adjusted Odds Ratio (AOR) = 4.36), Intensive Care Unit admission (ICU) (AOR = 16.26), higher stage of CAM (AOR = 2.72), and receiving endoscopic debridement and transcutaneous retrobulbar amphotericin B (AOR = 3.30) had higher odds of mortality. History of taking systemic corticosteroids during COVID-19 was significantly associated with reduced odds of mortality (AOR = 0.16). Generalized Estimating Equations analysis showed that the visual acuity of deceased patients (LogMAR: 3.71, 95% CI: 3.04-4.38) was worse than that of patients who were discharged from the hospital (LogMAR: 2.42, 95% CI: 2.16-2.68) (P < 0.001).
CONCLUSIONS: This study highlights significant risk factors for mortality in patients with CAM, such as cigarette smoking, ICU admission, advanced CAM stages, receiving transcutaneous retrobulbar amphotericin B and worser visual acuity. Conversely, a history of systemic corticosteroid use during COVID-19 was linked to reduced mortality. These findings underscore the critical need for early identification and targeted interventions for high-risk CAM patients to improve clinical outcomes.

Surgical intervention is a key element in the management of patients diagnosed with mucormycosis. A retrospective cohort study was carried out, in which patients with a proven diagnosis of mucormycosis were evaluated over a period of 10 years, according to the MSGERC criteria. A descriptive analysis of the clinical characteristics, comorbidities, imaging, and microbiology studies, as well as medical and surgical treatment and the type of prosthesis was carried out. A total of 22 cases were identified, of which 54.5% (n = 12) of the population were men. Furthermore, 77.2% (n = 17) of the population had diabetes mellitus. The main antifungal treatment implemented was liposomal amphotericin B (77.2%, n = 17). The most affected structures in our patients were the paranasal sinuses (n = 18; 81%), followed by the maxilla and orbit (n = 15; 68%), nose (n = 12; 54%), central nervous system (n = 11; 50%), and skin and soft tissues (n = 2; <1%). Of the total population, 59.09% (n = 13) of patients underwent maxillofacial surgery, of which 61.53% (n = 8) required some type of prosthetic rehabilitation. Orbital exenteration and maxillectomy were the most frequent surgeries, accounting for 69.23% (n = 9), while skull base drainage was performed in four patients (30.76%). Of the total number of patients (n = 22), eight died (36.36%). Appropriate surgical management according to the affected structures, considering not only increasing the patient\'s survival, but also considering the aesthetic and functional consequences, will require subsequent rehabilitation.

BACKGROUND: During the COVID-19 pandemic-associated mucor epidemic, acute antifungal drug shortage necessitated the exploration of other antifungals based on culture sensitivity. Itraconazole is a cheap, safe, and effective antifungal in sensitive cases.
METHODS: We enrolled itraconazole-sensitive COVID-19-associated mucormycosis during the mucormycosis pandemic. After the intensive phase course of liposomal amphotericin B, Itraconazole was offered in susceptible cases during the maintenance phase along with standard of care. These patients were clinically and radiologically followed for 6 months.
RESULTS: We enrolled 14 patients (Male: Female-11:3) of Rhino-orbito-cerebral mucormycosis (ROCM) which included 12 diabetics. All patients had facial swelling, orbital swelling, visual impairment, and headache. MRI showed involvement of bilateral sinus (10/14), orbital extension (13/14), cavernous sinus (5/14), cerebral part of the internal carotid artery (3/14), and brain infarcts (4/14). All 14 patients showed sensitivity to Itraconazole with 12 having minimum inhibitory concentration (MIC) ≤ 1 μg/ml and 2 having MIC ≤ 2 μg/ml. Follow-up at 6 months showed clinical improvement in the majority (11/14) and radiological improvement in six out of seven scanned patients.
CONCLUSIONS: Our study shows the potential therapeutic role of oral Itraconazole in ROCM.

Fungal rhino-orbital-cerebral infections present significant treatment challenges, especially in immunocompromised individuals, such as those with diabetes. These infections seldom occur with bacterial co-infections, which complicate their management. This report presents the case of a 74-year-old diabetic male with a long-standing history of left malar pain who experienced rhinorrhea, nasal congestion, and confusion. Diagnostic imaging revealed angioinvasive fungal sinusitis, ultimately attributed to chronic mucormycosis (CM) with concurrent Actinomyces infection, a rarely reported occurrence. We employed a comprehensive treatment strategy, which resulted in a successful recovery after 24 days. Although CM is rare, accounting for approximately 5.6% of cases with mucormycosis, it requires thorough diagnostic evaluation and prolonged treatment. The rarity of co-infections like the one we describe underscores the need for an integrated management approach. Histopathological analysis serves as the gold standard for diagnosis, with treatment typically involving surgical and extensive antifungal interventions.

OBJECTIVE: To investigate the long-term outcomes of COVID-19-associated rhino-orbito-cerebral mucormycosis (ROCM) patients.
METHODS: Retrospective, observational study including all COVID-19 patients who developed ROCM and were referred to our oculoplastic clinic.
RESULTS: Twenty-one patients with COVID-19-associated ROCM were included in this study. Twelve (57.1%) individuals were female with a mean age of 50.7±7.6 years (range 33-59), and nine (38.1%) were male with a mean age of 58.7±14.4 years (range 37-82). Corticosteroids were used in 85.7% of patients, and three patients received no systemic corticosteroids; 76.2% were diabetic and two of these developed new-onset diabetes mellitus (DM) after receiving corticosteroids during their treatment course. The average interval between COVID-19 and the development of ROCM in our subjects was 18.6 days (range 8-46 days). In our series of patients, decreasing vision, proptosis, and periorbital edema constituted the most prevalent presentation, seen in 52.4% of subjects. Endoscopic paranasal sinus debridement was performed a mean of 3.4 times in 95.2%, abscess drainage in one, and orbital exenteration in three (14.2%) patients. Orbital apex and bilateral paranasal sinus involvement were significantly associated with higher mortality, and the overall 18-month survival rate was 52.3%.
CONCLUSIONS: Based upon common factors among the COVID-19-associated ROCM patients, we presume that DM and drug-induced immunosuppression are two main factors, which may lead to a higher rate of ROCM infection in areas where fungal spores are more likely to be present, such as hospitals.

OBJECTIVE: Rhino-orbito-cerebral mucormycosis (ROCM), a rare angio-invasive fungal infection, had become a major outbreak during the second wave of the coronavirus disease (COVID-19) pandemic in India, with over 28,000 reported cases. The purpose of this study was to describe the imaging spectrum of ROCM, which may prove useful in prompt diagnosis, considering its grave prognosis in populations with a high load of immunosuppressed patients (e.g., COVID-19, HIV-AIDS, etc.).
METHODS: Evaluation of the clinical data and imaging of patients with symptoms suspicious of mucormycosis of the craniofacial region was done. The diagnosis was made using computed tomography (CT) or magnetic resonance (MR) imaging, a biopsy, and culture. The data analysis was done using descriptive statistical methods.
RESULTS: The sample group consisted of a total of 36 patients ranging from 33 years to 75 years of age, out of which 31 (86.11%) were male and five (13.8%) were female. A total of 30 (83.33%) patients had a positive correlation with COVID-19 infection, and 29 (80.55%) patients had a positive correlation with diabetes. The major presenting complaints were facial pain and swelling (20 patients; 55.55%). The intracranial spread was seen in 14 (38.88%) patients. Our study demonstrated a mortality rate of 38.88% (14 patients).
CONCLUSIONS: ROCM, once considered to occur predominantly in diabetics, is increasingly being seen in other immunosuppressive patients, such as COVID-19. CT and MR imaging help provide an early diagnosis in conjunction with pathologic and microbiological correlations. Immediate correction of immunosuppression with the initiation of amphotericin B therapy combined with extensive and diligent surgical debridement of the diseased tissue is required.

To propose a surgical staging system with management protocol for post-covid Rhino-orbito-cerebral mucormycosis (ROCM) with central skull base osteomyelitis. A prospective cohort study of a total of 193 post-covid ROCM patients was conducted between May 2021 and January 2022 at a tertiary care centre. Patients were assessed radiologically and staged from I to V. Follow up period was 16 months and the surgical outcome in terms of recurrent disease was assessed. A total of 193 patients (129 primary and 64 revision) were studied. Maxilla was found to be the epicenter of anterior disease (69.3%) and pterygoid wedge was noted to be the epicenter of posterior disease (85.6%). More than 65% of our patients, at the time of presentation, presented with involvement of the central skull base. Intracranial disease was noted in 13.9% of patients and the mortality rate was 6.2%. This staging system provides a systematic step-by-step protocol for the management of ROCM, with emphasis on meticulous disease clearance at the central skull base.

UNASSIGNED: To study the emerging trend of development of secondary acquired nasolacrimal duct obstruction (SALDO) in the cases treated for rhino-orbito-cerebral mucormycosis (ROCM).
UNASSIGNED: Prospective, interventional case series of five patients who developed SALDO post-surgical and medical management of ROCM. The mean age was 45.4 years (range: 40-62 years), all five being males. Right lacrimal drainage pathways was involved slightly more than the left (right:left = 3:2). Epiphora and discharge were the main presenting features. All five patients were treated with extensive debridement of the nose, sinuses, orbit and cerebral involvement as needed followed by medical management for ROCM. CT- Dacryocystography for all 5 patients showed obstruction at the lower end of the nasolacrimal duct. The patients underwent external dacryocystorhinostomy with mitomycin-C with or without intubation with good anatomical and functional outcomes at 6 months follow-up.
UNASSIGNED: The present series highlights the possible etiology of development of SALDO in cases treated for ROCM, its management and discusses the role of Computed Tomography Dacryocystography (CT-DCG) in understanding the pathophysiology of the development of SALDO along with delineating the spatial relationship of the lacrimal drainage system with the surrounding structures.

Aim: The study aimed to identify quantitative parameters that increase the risk of rhino-orbito-cerebral mucormycosis, and subsequently developed a machine learning model that can anticipate susceptibility to developing this condition. Methods: Clinicopathological data from 124 patients were used to quantify their association with COVID-19-associated mucormycosis (CAM) and subsequently develop a machine learning model to predict its likelihood. Results: Diabetes mellitus, noninvasive ventilation and hypertension were found to have statistically significant associations with radiologically confirmed CAM cases. Conclusion: Machine learning models can be used to accurately predict the likelihood of development of CAM, and this methodology can be used in creating prediction algorithms of a wide variety of infections and complications.
Fungal infections caused by the Mucorales order of fungi usually target patients with a weakened immune system. They are usually also associated with abnormal blood sugar states, such as in diabetic patients. Recent work during the COVID-19 outbreak suggested that excessive steroid use and diabetes may be behind the rise in fungal infections caused by Mucorales, known as mucormycosis, in India, but little work has been done to see whether we can predict the risk of mucormycosis. This study found that these fungal infections need not necessarily be caused by Mucorales\' species, but by a wide variety of fungi that target patients with weak immune systems. Secondly, we found that diabetes, breathing-assisting devices and high blood pressure states had associations with COVID-19-associated fungal infections. Finally, we were able to develop a machine learning model that showed high accuracy when predicting the risk of development of these fungal infections.

Background: The coronavirus disease 2019 (COVID-19) pandemic was associated with an increased incidence of mucormycosis globally. However, the clinical pattern, epidemiologic features and risk factors for adverse outcomes are not well established. Methods: We performed a retrospective analysis of the data from patients hospitalized with proven mucormycosis between April 2021 and August 2021. Patients were managed with a multi-disciplinary approach involving medical, surgical, and comorbidity treatment. The clinical presentation, management details, complications and outcomes, including mortality, were reviewed from clinical records. Results: The mean age of presentation was 53.7 (± 11.8) years, and 88 (84.6%) were men. Of the 104 cases with COVID-19-associated mucormycosis, 97 (93.27%) patients had diabetes, and 80.8% had a haemoglobin A1C (HbA1c) of ≥6.4% at diagnosis. Seventy percent of diabetes cases experienced steroid-induced hyperglycaemia during treatment. Even with appropriate treatment, 17 (16.35%) patients died. High HbA1c and creatinine levels, presence of chronic kidney disease (CKD), need for intensive care unit admission, and orbital evisceration were the risk factors associated with high mortality on multivariate logistic regression analysis. Cox regression analysis revealed that the overall mortality increased by a factor of 12% with each 1 percentage point increase in HbA1c ≥6.4% (hazard ratio 1.12; 95% confidence interval 0.95- 1.31). The mortality risk was even higher when diabetes was associated with CKD (hazard ratio 1.82; 95% confidence interval 0.24-14.00). Conclusion: High HbA1c and creatinine levels, intensive care unit admission, CKD, and aggressive disease requiring orbital evisceration are the predictors of mortality in patients with COVID-19-associated mucormycosis. Patients with these risk factors should be managed more actively to reduce morbidity and mortality.