| Literature DB >> 36196428 |
Archana Bhat K1, Deepak Madi2, Sevitha Bhat1, Therese Mary3, Shalini Shenoy Mulki1, Himani Kotian4.
Abstract
Introduction: SARS CoV-2, a novel corona virus, has emerged in December 2019. The COVID-19 associated mortality is documented in elderly with co morbidities. To have better insight on this issue, the secondary bacterial infections with multi-drug-resistant bacteria in COVID-19 patients need to be studied to evaluate the impact of these infections on the outcome. Aim and objectives: To determine the proportion of secondary infections in COVID-19 patients. To study the spectrum of pathogens and antibiogram of the bacteria isolated from secondary infections in such patients. To evaluate the co-existing co-morbidities, treatment and outcome in these patients. Methodology: The retrospective study was conducted in Departments of Medicine and Microbiology, KMC hospitals Attavara and Ambedkar circle, Mangaluru, including all the hospitalized microbiologically confirmed cases of SARS CoV-2 infection. Details pertaining to the study population were collected using a structured proforma. Descriptive data were entered in the form of mean, median and proportions. The categorical values were analyzed using Chi square test. Values of p < 0.05 were considered as statistically significant.Entities:
Keywords: COVID-19; Klebsiella pneumoniae; SARS CoV 2; antibiotic resistance; secondary infections
Year: 2022 PMID: 36196428 PMCID: PMC9527002 DOI: 10.2147/IDR.S378221
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.177
Demographic Data of the COVID−19 Patients
| Demographic Variable | Number (%) | |
|---|---|---|
| 85 (42.5%) | ||
| 73 (36.5%) | ||
| 39 (19.5%) | ||
| 3 (1.5%) | ||
| 138 (69%) | ||
| 62 (31%) | ||
| 3 (1.5%) | ||
| 173 (98.5%) | ||
Figure 1Type of Secondary infections in COVID 19 patients.
Figure 2Spectrum of pathogens in Secondary infections in COVID 19.
Association of Comorbidities with Secondary Infections in COVID 19 Patients
| Comorbidity | With Secondary Infection | Without Secondary Infection | |
|---|---|---|---|
| Yes | 14 (50%) | 67 (38.9%) | |
| No | 14 (50%) | 105 (61.1%) | |
| Yes | 18 (64.3%) | 92 (53.5%) | |
| No | 10 (35.7%) | 80 (46.5%) | |
| Yes | 0 | 1 (0.6%) | |
| No | 171 (99.4%) | ||
| Yes | 2 (7.2%) | 13 (7.6%) | |
| No | 26 (92.8%) | 159 (92.4%) | |
| Yes | 3 (10.7%) | 26 (15.2%) | |
| No | 25 (89.2%) | 146 (84.8%) | |
| Yes | 1 (3.6%) | 15 (8.8%) | |
| No | 27 (96.4%) | 157 (91.2%) | |
| Yes | 3 (10.7%) | 5 (2.9%) | |
| No | 25 (89.3%) | 167 (97.1%) | |
| Yes | 18 (64.3%) | 100 (58.5%) | |
| No | 10 (35.7%) | 72 (41.8%) | |
| Yes | 6 (21.4%) | 0 | |
| No | 22 (78.5%) | 0 | |
Association of Secondary Infections in COVID 19 with Comorbidity, Severity and Outcome
| With Secondary Infection | Without Secondary Infection | X2 value | p value | ||
|---|---|---|---|---|---|
| 25 (89.28%) | 122 (70.9%) | 4.012 | *0.045 | ||
| 3 (10.72%) | 50 (29.1%) | ||||
| 0 (0%) | 33 (100%) | 10.232 | 0.017* | ||
| 11 (16.7%) | 56 (83.3%) | ||||
| 6 (10.9%) | 49 (89.1%) | ||||
| 11 (24.4%) | 34 (75.6%) | ||||
| 6 (21.4%) | 25 (14.5%) | 12.25 | 0.007* | ||
| 10 (35.7%) | 119 (69.2%) | ||||
| 12 (42.8%) | 28 (16.3%) | ||||
Note: *p value <0.05 is significant.