| Literature DB >> 34514761 |
Reetika Malik Yadav1, Archana Pate2, Aruna Shankarkumar3, Shreyasi Athalye3, Shweta Shinde1, Umair Ahmed Bargir1, Mangesh Pate2, Makarand Ganpule2, Meena Pruthi2, Hemant Patil2, Manisha Rajan Madkaikar1.
Abstract
BACKGROUND: The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic has resulted in occupational exposure among Healthcare Workers (HCWs) and a high risk of nosocomial transmission. Asymptomatic infection and transmission of infection before the development of symptoms are well-recognized factors contributing to the spread of infection. We conducted a cross-sectional observational study to understand the seroprevalence of SARS-CoV-2 infection among HCWs and to verify the appropriateness of infection control measures, particularly Hydroxychloroquine (HCQ) prophylaxis.Entities:
Keywords: SARS-CoV-2; Sero-surveillance; healthcare workers; hydroxychloroquine; prophylaxis
Mesh:
Substances:
Year: 2021 PMID: 34514761 PMCID: PMC8435873 DOI: 10.2991/jegh.k.210518.001
Source DB: PubMed Journal: J Epidemiol Glob Health ISSN: 2210-6006
Participant characteristics and history of symptoms
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| 1 | Median age (in years) | 40 | 44 | |
| 2 | Sex | |||
| Male | 67.3% | 58.4% | 0.2 | |
| Female | 32.7% | 41.6% | ||
| 3 | Primary place of work | |||
| Out-Patient department/Pharmacy/X-ray department/ECG | 12.4% | 87.6% | 0.9 | |
| Medical unit/ICU/Emergency/OT/Either or all | 10.2% | 89.8% | ||
| Laboratory | 13.5% | 86.5% | ||
| Administration | 8.7% | 91.3% | ||
| Others including teleconsultation and support services like an attendant, ambulance services, security, etc. | 9.8% | 90.1% | ||
| 4 | Co-morbidities | |||
| Diabetes | 10.9% | 14.3% | 0.6 | |
| Hypertension/Heart disease | 16.3% | 16.6% | ||
| Asthma/Lung disease | 3.6% | 1.6% | ||
| Others | 5.4% | 6.7% | ||
| 5 | Type of exposure to COVID-19 patients | |||
| Direct | 81.8% | 78.4% | 0.8 | |
| 6 | Presence of symptoms consistent with a viral illness in the preceding three months | 33 | 152 | 0.0003 |
| 7 | Tested with RT-PCR | 69.7% | 41.4% | NA |
| 8 | SARS-CoV-2 RT-PCR | |||
| Test positive | 60.9% | 17.5% | ||
| Test negative | 39.1% | 82·5% | ||
| 9 | HCWs reporting affected family members ( | 2.5% | 3% | NA |
Analysis of factors affecting vulnerability and statistical significance for their differences (p) in univariate analysis
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| Rational use of PPE as per WHO recommendations | 85.4% | 71.5% |
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| No. of hours of exposure | |||
| >8 | 24.4% | 19.5% |
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| 4–8 | 44.4% | 22.3% | |
| <4 | 31.1% | 58.2% | |
| Exposure to aerosol-generating procedures | 22.7% | 18.8% | 0.55 |
| HCQ prophylaxis | |||
| HCQ < 6 weeks | 25% | 11.8% |
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| 6–10 weeks | 11.4% | 22.8% | |
| >10 weeks | 2.3% | 10.7% | |
| No HCQ | 61.4% | 54.5% | |
| Presence of co-morbidity | 12 | 97 | >0.99 |
Only those providing direct care were included in analysis (n = 45 for the sero-positive group and n = 349 for the sero-negative group).
Data regarding the number of weeks of intake of HCQ was missing for 101 HCWs, hence excluded from the analysis.
Boldface p-value indicates statistical significance (*p < 0.05, **p < 0.01).
Figure 1Correlation of the number of hours of exposure with the development of IgG antibodies.
Odds ratios of the presence of anti-SARS-CoV-2 antibody for study variables in multivariate logistic regression analysis Dependent variable: Positive SARS-CoV-2 antibody test Analysis of independent variables:
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| Direct care | 16.40 |
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| Never used PPE | 3.78 | 1.1–11.9 |
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| HCQ prophylaxis | 0.55 |
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Boldface p-value indicates statistical significance (*p < 0.05, **p < 0.01).