Frequency and survival of Covid associated mucormycosis patients at tertiary care hospitals in Pakistan: A retrospective observational study

WHO BREF Quality of Life Score as a Prognostic Indicator of Survival in Patients recovered from COVID-19 Associated Rhino-Orbito-Cerebral Mucormycosis

Coronavirus disease 2019 (COVID-19)-associated mucormycosis (CAM) has emerged as a formidable infection in patients with COVID-19, this study was designed to assess the QOL in patients with and its predictability for survival in CAM victims. This long term prospective observational study of 290 patients with CAM was conducted over 2 years using a standard questionnaire (the abbreviated World Health Organization Quality of Life questionnaire [WHO-BREF]), Karnofsky performance scale (KPS), palliative performance scale (PPS) and patient rated improvement (PRI) ranging from 0 to 9. Cut-off values of ≤ median score was considered to indicate poor QOL or poor improvement. The overall 2 year survival rate was 78.27% with mean survival time of 763.2 ± 1.2 days (Mean ± S.E) (95% CI: 760.76-765.6). The disease specific mortality was 22.1%. The overall mean QOL was 53.5(10.2) with 51% of population exhibiting poor QOL. Spearman rho correlation showed strong positive correlation between the three QOL scales and PRI (ρ-0.72, p < 0.001). On Cox regression analysis the stage, all four domains of WHO BREF, KPS, and PPS were independent predictors of long term survival in CAM patients. Approximately half of the patients with CAM had poor QOL and poor improvement. All 4 domains of WHO BREF score can be used as a predictor of long term survival in CAM patients. Early recognition is the key to optimal treatment, improved outcomes, and improved QOL in patients with CAM.

Factors influencing mortality in COVID-19-associated mucormycosis: The international ID-IRI study

The emergence of COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), triggered a global pandemic. Concurrently, reports of mucormycosis cases surged, particularly during the second wave in India. This study aims to investigate mortality factors in COVID-19-associated mucormycosis (CAM) cases, exploring clinical, demographic, and therapeutic variables across mostly Asian and partly African countries. A retrospective, cross-sectional analysis of CAM patients from 22 medical centers across eight countries was conducted, focusing on the first 3 months post-COVID-19 diagnosis. Data collected through the ID-IRI included demographics, comorbidities, treatments, and outcomes. A total of 162 CAM patients were included. The mean age was 54.29 ± 13.04 years, with 54% male. Diabetes mellitus (85%) was prevalent, and 91% had rhino-orbital-cerebral mucormycosis. Surgical debridement was performed in 84% of the cases. Mortality was 39%, with advanced age (hazard ratio [HR] = 1.06, [P < .001]), rituximab use (HR = 21.2, P = .05), and diabetic ketoacidosis (HR = 3.58, P = .009) identified as risk factors. The mortality risk increases by approximately 5.6% for each additional year of age. Surgical debridement based on organ involvement correlated with higher survival (HR = 8.81, P < .001). The utilization of rituximab and diabetic ketoacidosis, along with advancing age, has been associated with an increased risk of mortality in CAM patients. A combination of antifungal treatment and surgical intervention has demonstrated a substantial improvement in survival outcomes.

Outcomes of Patients with COVID-19 and Fungal Coinfections: A Systematic Review and Meta-Analysis Study

Background & Objective

Fungal co-infections increase the incidence and mortality of viral respiratory tract infections. This study systematically reviews and conducts a meta-analysis to evaluate the prevalence of COVID-19 patients with fungal coinfections. The aim is to provide a concise overview of the impact of these infections on patient outcomes especially association with risk of mortality, informing future research and optimizing patient management strategies.

Methods

To identify relevant studies on COVID-19 patients, we conducted a systematic search of databases from the beginning of the year until July 2023, including fungal co-infections, mortality, and sequelae. Eligibility criteria were developed using the PICO framework, and data extraction was carried out separately by two authors using standard techniques. Statistical analysis was performed using the correlation model and differences between studies were evaluated using the I2 test. R and RStudio were used for statistical analysis and visualization.

Results

We initially identified 6,764 studies, and after checking for equivalence and consistency, 41 studies were included in the final analysis. The overall COVID-19 odds ratio for people who died from fungal infections was 2.65, indicating that patients infected with both COVID-19 and fungal infections had a higher risk of death compared to patients with COVID-19 alone. Specifically, COVID-19-associated pulmonary aspergillosis (CAPA) has a higher odds ratio of 3.36, while COVID-19-associated candidiasis (CAC) has an odds ratio of 1.84, and both are much more associated with death. However, coinfection of the fungus with other fungal species did not show a significant difference in the risk of mortality.

Conclusion

This study identified CAPA and CAC as the most common infections acquired in healthcare settings. Fungal coinfections may be associated with an increased risk of death in COVID-19 patients.

Predicting intracranial involvement: Unveiling perineural spread in COVID-19-associated mucormycosis, a novel phenomenon

This study aimed to investigate the risk factors associated with intracranial involvement in COVID-19-associated mucormycosis (CAM) and to develop a nomogram model for predicting the risk of intracranial involvement, with a specific focus on perineural spread. An ambispective analysis was conducted on 275 CAM patients who received comprehensive treatment. Univariable and multivariable logistic regression analyses were performed to identify independent risk factors, and a nomogram was created based on the results of the multivariable analysis. The performance of the nomogram was evaluated using a receiver operating characteristic (ROC) curve, and the discriminatory capacity was assessed using the area under the curve (AUC). The model's calibration was assessed through a calibration curve and the Hosmer Lemeshow test. In the results, the multivariable logistic regression analysis revealed that age (OR: 1.23, 95% CI 1.06-3.79), HbA1c (OR: 7.168, 95% CI 1.724-25.788), perineural spread (OR: 6.3, 95% CI 1.281-19.874), and the disease stage were independent risk factors for intracranial involvement in CAM. The developed nomogram demonstrated good discriminative capacity with an AUC of 0.821 (95% CI 0.713-0.909) as indicated by the ROC curve. The calibration curve showed that the nomogram was well-calibrated, and the Hosmer Lemeshow test yielded a P-value of 0.992, indicating a good fit for the model. In conclusion, this study found that CAM particularly exhibits perineural spread, which is a predictive factor for intracranial involvement. A nomogram model incorporating age, HbA1c, disease stage, and perineural spread was successfully developed for predicting intracranial involvement in CAM patients in both in-patient and out-patient settings.

The Second COVID-19 Wave Is a Tsunami With Aftershocks: Mucormycosis Ire as Seen in a Tertiary Care Hospital in Uttarakhand, India

BACKGROUND

During the spread of severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) or the coronavirus disease 2019 (COVID-19) pandemic in recent times, an upsurge of invasive fungal infections (IFIs) such as mucormycosis was witnessed by many countries like India. This COVID-19-associated mucormycosis (CAM) has presented as a menace to the already creaking health infrastructure. Clinical manifestations, risk factors, and end clinical outcomes varied for every other region/country. The aim of this study is to delineate and analyze plausible clinical and epidemiological factors and associated predictors of CAM in suspected patients presenting to a tertiary care hospital in Uttarakhand, India, during the second wave of COVID-19 in India.

MATERIAL AND METHODS

A total of 200 cases of suspected post‑COVID-19 mucormycosis were enrolled. Data were collected taking into account parameters such as hospitalization and ICU admissions during the episode of COVID-19 infection, steroid/antibiotics/oxygen requirement, and comorbidities such as diabetes mellitus, hypertension, or any chronic illness and outcome.

RESULTS

Participants diagnosed with CAM using KOH examination and fungal culture were analyzed in the study (n=46). The median age of patients included was 48, 73.9% were males, and 26% were females. The major predisposing factor was found to be diabetes mellitus type 2. Our work suggests that the mean duration between COVID-19 episodes and CAM was 11.86 days with a significant statistical association. Oxygen requirement and imprudent use of steroids/antibiotics were also allied with mucormycosis.

CONCLUSION

The burden of such IFIs is expected to be unveiled in tropical countries during pandemics such as COVID-19, which lead to immunosuppression in masses post-treatment. Comorbidities such as diabetes, chronic kidney disease, and hypertension add to the risk of acquiring other infectious disease. Such times require competent healthcare professionals such as diagnosticians, physicians, and surgeons who are skilled to manage such IFIs timely.