| Literature DB >> 33220441 |
Ivan Ilic1, Marina Zdravkovic2, Stefan Timcic2, Dragana Unic Stojanovic3, Milovan Bojic4, Goran Loncar4.
Abstract
OBJECTIVES: The pandemic of coronavirus associated disease (COVID-19) placed the health care workers at high risk. We investigated clinical and treatment characteristics of infected medical professionals in a cardiovascular hospital.Entities:
Keywords: coronavirus; immunization; influenza; pneumonia
Year: 2020 PMID: 33220441 PMCID: PMC7674984 DOI: 10.1016/j.ijid.2020.11.156
Source DB: PubMed Journal: Int J Infect Dis ISSN: 1201-9712 Impact factor: 3.623
Distribution of infected medical professionals by department
| Department | Infected | At service | % |
|---|---|---|---|
| Cardiac surgery | 13 | 109 | 11.9 |
| Anaesthesiology & ICU | 36 | 151 | 23.8 |
| Postoperative department | 25 | 196 | 12.7 |
| Cardiology n (%) | 15 | 122 | 12.3 |
| Radiology n (%) | 8 | 56 | 14.3 |
| Physical therapy | 6 | 20 | 30.0 |
| Non-medical service | 4 | 72 | 5.6 |
ICU-intensive care unit
Clinical characteristics of all patients, hospitalized vs non-hospitalized
| Variable | Total (n = 107) | H (n = 38) | NH (n = 69) | P value | |
|---|---|---|---|---|---|
| Age (years) | |||||
| No previous disease n (%) | |||||
| Malignancy n (%) | |||||
| Hypertension n (%) | |||||
| Coronary artery disease n (%) | |||||
| Heart failure | |||||
| Diabetes mellitus n (%) | |||||
| Bronchial asthma n (%) | |||||
| COPD n (%) | |||||
| Chronic renal failure n (%) | |||||
| Previous CVD n (%) | |||||
| Thyroid disease n (%) | |||||
| Arrhythmia n (%) | |||||
| BMI > 30 kg/m2 n (%) | |||||
| Current smoking n (%) | |||||
BMI – body mass index; COPD – chronic obstructive pulmonary disease; CVD – cerebrovascular disease; H – hospitalized, NH – non-hospitalized
Fig. 1COVID-19 cases among patients and staff. The diagram depicts temporal trends in cumulative infection of medical professionals and cardiac surgery patients.
Complaints of symptomatic patients with COVID-19.
| Symptom | n = 76 |
|---|---|
| Sore throat n (%) | |
| Rhinorrhea n (%) | |
| Fever n (%) | |
| Fever < 37.3⁰ C n (%) | |
| Fever 37.3 – 38.0⁰ C n (%) | |
| Fever 38.1 – 39⁰ C n (%) | |
| Fever > 39.0⁰ C n (%) | |
| Cough n (%) | |
| General weakness n (%) | |
| Headache n (%) | |
| Diarrhea n (%) | |
| Myalgia n (%) | |
| Breathlessness n (%) | |
| Loss of smell or taste n (%) |
Choice of antibiotics in hospitalized COVID-19 patients.
| Antibiotic | n = 38 |
|---|---|
| Azithromycin n (%) | |
| Ceftriaxone n (%) | |
| Levofloxacin n (%) | |
| Ciprofloxacin n (%) | |
| Cefixime n (%) | |
| Vancomycin n (%) | |
| Amoxycillin n (%) | |
| Metronidazole n (%) | |
Fig. 2Forest plot of risk factors for bilateral pneumonia. The diagram displays impact of patients’ characteristics in multivariable regression on occurrence of bilateral pneumonia. Odds ratio (OR) and 95% confidence interval (CI) are given for each patients’ characteristics.
Univariate and multivariate predictors of CT confirmed bilateral pneumonia.
| Univariate | Multivariate | ||||
|---|---|---|---|---|---|
| OR [95% CI] | P-value | OR [95% CI] | P-value | ||
| 7.182 [0.418 – 123.251] | 0.174 | 2.9E [0.000 – ] | 1.000 | ||
| 1.800 [0.334 – 9.704] | 0.494 | - - - | - - - | ||
| 2.333 [0.223 – 24.459] | 0.480 | - - - | - - - | ||
| 0.297 [0.082 – 1.074] | 0.064 | 0.207 [0.050 – 0.847] | 0.029 | ||
| 5.133 [0.763 – 34.549] | 0.093 | 15.644 [0.732 – 334.336] | 0.078 | ||
| 3.000 [0.615 – 14.626] | 0.174 | 10.532 [0.976 – 113.628] | 0.052 | ||
| 0.000 [0.000 – ] | 1.000 | - - - | - - - | ||
CT – computerized tomography; OR – odds ratio.