| Literature DB >> 35330225 |
Surendra Singh Baghel1, Amit Kumar Keshri1, Prabhakar Mishra2, Rungmei Marak3, Ravi Sankar Manogaran1, Pawan Kumar Verma4, Arun Kumar Srivastava4, Raj Kumar4, Arulalan Mathialagan1, Govind Bhuskute1, Abhishek Kumar Dubey1, Radha Krishan Dhiman5.
Abstract
This study aimed to determine the patient demographics, risk factors, which include comorbidities, medications used to treat COVID-19, and presenting symptoms and signs, and the management outcome of COVID-19-associated invasive fungal sinusitis. A retrospective, propensity score-matched, comparative study was conducted at a tertiary care center, involving 124 patients with invasive fungal sinusitis admitted between April 2021 and September 2021, suffering from or having a history of COVID-19 infection. Among the 124 patients, 87 were male, and 37 were female. A total of 72.6% of patients received steroids, while 73.4% received antibiotics, and 55.6% received oxygen during COVID-19 management. The most common comorbidities were diabetes mellitus (83.9%) and hypertension (30.6%). A total of 92.2% had mucor, 16.9% had aspergillus, 12.9% had both, and one patient had hyalohyphomycosis on fungal smear and culture. The comparative study showed the significant role of serum ferritin, glycemic control, steroid use, and duration in COVID-19-associated invasive fungal disease (p < 0.001). Headache and facial pain (68, 54.8%) were the most common symptoms. The most involved sinonasal site was the maxillary sinus (90, 72.6%). The overall survival rate at the three-month follow-up was 79.9%. COVID-19-related aggressive inflammatory response, uncontrolled glycemic level, and rampant use of steroids are the most important predisposing factors in developing COVID-19-associated invasive fungal sinusitis.Entities:
Keywords: glycemic control; invasive fungal sinusitis; overall survival rate; steroid use
Year: 2022 PMID: 35330225 PMCID: PMC8954380 DOI: 10.3390/jof8030223
Source DB: PubMed Journal: J Fungi (Basel) ISSN: 2309-608X
Distribution of the demographic, treatment, inflammatory markers, respiratory support, and outcomes of COVID-19 patients (N = 124).
| Variables | Subgroups | Number (%) |
|---|---|---|
| COVID-19 status | Positive | 20 (16.1%) |
| Negative | 104 (83.9%) | |
| Sex | Male | 87 (70.2%) |
| Female | 37 (29.8%) | |
| Isolation place | Hospital | 66 (53.2%) |
| Home | 58 (46.8%) | |
| Antibiotics | Yes | 91/124 (73.4%) |
| Antibiotics (intravenous) | Yes | 48/91 (52.7%) |
| Steroid | Yes | 90 (72.6%) |
| Tocilizumab | Yes | 3 (2.4%) |
| Death/cured | Death | 25 (20.1%) |
| Cured | 99 (79.8%) | |
| Type of respiratory support during treatment | Total | 69 (55.6%) |
| Non-rebreather mask (NRBM) | 9 (13%) | |
| 44 (63.8%) | ||
| Bilevel positive airway pressure (BiPAP) | 9 (13%) | |
| Mechanical | 7 (10.1%) | |
| Support at the time of admission | Room air | 100 (80.6%) |
| Ventilator | 12 (9.7%) | |
| Oxygen | 12 (9.7%) | |
| Fungal element | Only aspergillus | 5 (4%) |
| Only mucor | 102 (82.2%) | |
| Both aspergillus and mucor | 16 (12.9%) | |
| Hyalohyphomycosis | 1 (0.8%) | |
| Primary antifungal | Amphotericin B | 116 (93.5%) |
| Isavuconazole | 8 (6.5%) | |
| Age (years) # | 51.7 ± 11.54 [52 (28, 82)] | |
| Duration b/w COVID-19 and mucor (days) # | 35.4 ± 37.15 [26 (6, 292)] | |
| Steroid use duration (days) # | 11.3 ± 6.6 [10 (3, 45)] | |
| Duration O2 support (days) # | 9.5 ± 8.13 [7 (0, 45)] | |
| Ferritin # | 1780.3 ± 7885.63 [576 (1, 85, 300)] | |
| HbA1c # | 9.1 ± 2.26 [9 (5.2, 14)] | |
# Presented as mean ± SD [median (minimum–maximum)].
Clinical symptoms, site, and comorbidities among COVID-19 patients (N = 124).
| Variables | Number (%) |
|---|---|
| Headache | 68 (54.8%) |
| Facial swelling or periorbital swelling | 50 (40.3%) |
| Vision loss/decreased vision | 30 (24.2%) |
| Facial numbness | 21 (16.9%) |
| Nasal discharge | 20 (16.1%) |
| Loose tooth | 17 (13.7%) |
| Tooth pain | 16 (12.9%) |
| Ptosis | 11 (8.9%) |
| Ophthalmoplegia | 10 (8.1%) |
| Proptosis | 7 (5.6%) |
| Skin discoloration | 7 (5.6%) |
| Palatal fistula | 6 (4.8%) |
| Diplopia | 4 (3.2%) |
| Facial palsy | 3 (2.4%) |
| Altered sensorium | 2 (1.6%) |
|
| |
| Maxillary | 90 (72.6%) |
| Ethmoids | 87 (70.2%) |
| Nasal cavity | 77 (62.1%) |
| Sphenoid | 56 (45.2%) |
| PPF | 46 (37.1%) |
| Orbit | 44 (35.5%) |
| Palate | 41 (33.1%) |
| ITF | 38 (30.6%) |
| Skull base | 30 (24.2%) |
| Frontal | 25 (20.2%) |
| Intracranial | 12 (9.7%) |
| Skin | 9 (7.3%) |
|
| |
| DM (Total) | 104 (83.9%) |
| DM (new onset) | 9 (8.6%) |
| DM current status (uncontrolled) | 88 (84.6%) |
| HTN | 38 (30.6%) |
| CKD/AKD | 16 (12.9%) |
| CAD | 8 (6.5%) |
| GBS | 2 (1.6%) |
| CLD | 5 (4%) |
| Renal transplant | 5 (4%) |
| Hypothyroidism | 5 (4%) |
PPF, pterygopalatine fossa; ITF, infratemporal fossa; DM, diabetes mellitus; HTN, hypertension; CKD, chronic kidney disease; AKD, acute kidney disease; CAD, coronary artery disease; GBS, Guillain–Barré syndrome; CLD, chronic liver disease.
Predictors of the invasive fungal sinusitis in propensity score-matched data for age, comorbidity, and respiratory supports.
| Variables # | Univariate Analysis | Multivariate Analysis $ | ||||
|---|---|---|---|---|---|---|
| Cases | Control | AOR | 95% CI | |||
| Serum ferritin | 576 (276, 1087) | 244 (105, 458) | <0.001 | 1.001 | 1.001,1.002 | 0.041 |
| HbA1c | 9.1 (7.6, 10.9) | 7.7 (6.8, 8.8) | <0.001 | 1.281 | 1.05,1.57 | 0.016 |
| Duration | 10 (7, 15) | 7 (7, 10) | <0.001 | 1.12 | 1.02,1.23 | 0.014 |
| Steroid (yes) | 90 (72%) | 39 (31.5%) | <0.001 | - | - | - |
# Data presented as median (interquartile range), compared by Mann–Whitney U-test. Chi-square test was used to compare the proportion of steroid patients; $ Multivariate binary logistic regression was used to estimate adjusted odds ratio (AOR); COVID-19 patients with and without invasive fungal sinusitis were considered as cases and controls, respectively.