| Literature DB >> 35528622 |
Satyendra Khichar1, Subhashree Samantaray2, Deepak Kumar1, Veena Mobarsa3, Vidhi Jain4, Vidhu Sharma3, Kapil Soni3, Bikram Choudhury3, Amit Goyal3, Durga Shankar Meena1, Srikanth Srinivasan5, Naveen Dutt6, Pankaj Bhardwaj5, Ashwini Agarwal4, Mahendra Kumar Garg1, Sanjeev Misra1.
Abstract
Background and Purpose: Rapid surge of invasive mucormycosis has surprised the Indian healthcare system amidst the coronavirus disease-19 (COVID-19) pandemic. Hence, there is an urgent need to find the risk factors for the sudden rise in cases of invasive mucormycosis among COVID-19 patients. This study aimed to find crucial risk factors for the sudden surge of invasive mucormycosis in India. Materials andEntities:
Keywords: COVID-19; Diabetes Mellitus; Invasive Mucormycosis; Risk Factors; Systemic Corticosteroids
Year: 2021 PMID: 35528622 PMCID: PMC9006735 DOI: 10.18502/CMM.7.3.7254
Source DB: PubMed Journal: Curr Med Mycol ISSN: 2423-3420
Demographic characters and clinical features of COVID-19 associated mucormycosis
| Variables | Cases (n=77) | Control (n=45) |
|
|---|---|---|---|
| Male (%)` | 52 (67.5%) | 33 (73.3%) | 0.5 |
| Age in years (Mean±SD) | 46.8±13.1 | 46.6±15.2 | 0.34 |
| Residence | |||
| Rural (%) | 29 (37.7%) | 18 (40%) | 1.0 |
| Urban (%) | 45 (58.3%) | 27 (60%) | |
| History of working in farm (%) | 20 (25.9%) | 3 (6.6%) | 0.003 |
| COVID-19 disease severity (%) | |||
| Mild disease | 46 (59.7%) | 24 (53.3%) | 0.77 |
| Moderate disease | 22 (28.8%) | 16 (35.6%) | |
| Severe disease | 9 (11.7%) | 5 (11.1%) | |
| Duration of COVID-19 illness (Mean±SD) (Days) | 16.5±4.6 | 14.8±5.3 | 0.065 |
| Presenting clinical features of invasive mucormycosis | |||
| Fever | 72 (93.5%) | ||
| Nasal congestion | 71(92.2%) | ||
| Hemifacial pain | 69 (89.6%) | ||
| Periorbital swelling | 56 (72.7%) | ||
| Toothache | 34 (44.2%) | ||
| Headache | 24 (31.2%) | ||
| Local pain and tenderness | 17 (22.1%) | ||
| Loss of Vision | 7 (9.1%) | ||
| Brown/black discharge from nose | 6 (7.8%) | ||
Assessment of the risk factors of COVID-19 associated mucormycosis.
| Risk Factors | Cases (n=77) | Control (n=45) |
|
|---|---|---|---|
| Diabetes mellitus | 53 (68.8%) | 10 (22.2%) | <0.0001 |
| Oxygen use | 31 (40.3%) | 21 (46.7%) | 0.75 |
| New onset diabetes mellitus | 23 (28.9%) | 1 (1.3%) | <0.0001 |
| Steroids use | 54 (70.1%) | 24 (53.3%) | 0.206 |
| Zinc used | 44 (57.1%) | 41 (91.1%) | 0.007 |
| Vitamin C used | 41 (53.2%) | 41 (91.1%) | 0.002 |
| Proprietary medicine | 13 (16.9%) | 4 (8.9%) | 0.12 |
| Steam inhalation | 45 (58.4%) | 24 (53.3%) | 0.7 |
| HbA1c>7.5 % | 35 (45.5%) | 3 (6.6%) | 0.014 |
| HbA1c (Mean±SD) (in %) | 9.68±2.4 | 7.99±2.03 | 0.034 |
| Inflammatory Markers (Mean±SD) | |||
| HsCRP (pg/ml) | 93.9±63.2 | 35.1±29.6 | <0.001 |
| ESR (mm in 1 hr) | 60.8±24.9 | 41.6±27.9 | 0.002 |
| Ferritin (ng/ml) | 608.2±469.1 | 857.7±650.8 | 0.11 |
*HbA1c: glycated hemoglobin, HsCRP: highly sensitive C-reactive protein, ESR: Erythrocyte sedimentation rate
Risk factors assessment of COVID-19 associated mucormycosis in mild COVID-19 cases
| Risk factors | Cases (n=46) | Control (n=24) |
|
|---|---|---|---|
| Male | 30 (65.2%) | 15 (62.5%) | 0.82 |
| History of work in farm | 13 (28.3%) | 1 (4.2%) | 0.01 |
| Diabetes mellitus | 34 (73.9%) | 5 (20.8%) | <0.0001 |
| New onset diabetes mellitus | 15 (32.6.%) | 1 (4.2%) | 0.006 |
| Steroids use | 23 (50%) | 4 (16.7%) | 0.007 |
| Diabetes mellitus+steroids | 17 (36.9%) | 2 (8.3%) | 0.01 |
| Zinc use | 22 (47.8%) | 24 (100%) | 0.03 |
| Vit C use | 21 (45.7%) | 22 (91.7%) | 0.01 |
| Proprietary medicine | 7 (15.2%) | 4 (16.7%) | 0.82 |
| MPS equivalent dosage (Mean±SD) (mg) | 28.1±25.5 | 18±10.1 | 0.216 |
| Duration of steroids use (Days) | 7.8±4.3 | 3.3±1.3 | 0.048 |
| Inflammatory markers (Mean±SD) | |||
| HsCRP (pg/ml) | 93.8±58.6 | 23.5±23.1 | <0.001 |
| ESR (mm/h) | 68.9±24.8 | 26.6±15.7 | <0.001 |
| Ferritin (ng/ml) | 566.2±447.8 | 308.8±79.8 | 0.07 |
*MPS: methylprednisolone, HbA1c: glycated hemoglobin, HsCRP: highly sensitive C-reactive protein, ESR: erythrocyte sedimentation rate