| Literature DB >> 35635888 |
Kelsie Cowman1, James Rossi2, Inessa Gendlina2, Yi Guo3, Sichen Liu4, Wendy Szymczak5, Stefanie K Forest5, Lucia Wolgast5, Erika Orner5, Hongkai Bao3, Miguel E Cervera-Hernandez2, Ashley Ceniceros2, Raja Thota6, Liise-Anne Pirofski7, Priya Nori2.
Abstract
Our objectives were to evaluate the role of procalcitonin in identifying bacterial co-infections in hospitalized COVID-19 patients and quantify antibiotic prescribing during the 2020 pandemic surge. Hospitalized COVID-19 patients with both a procalcitonin test and blood or respiratory culture sent on admission were included in this retrospective study. Confirmed co-infection was determined by an infectious diseases specialist. In total, 819 patients were included; 335 (41%) had an elevated procalcitonin (>0.5 ng/mL) and of these, 42 (13%) had an initial bacterial co-infection. Positive predictive value of elevated procalcitonin for co-infection was 13% while the negative predictive value was 94%. Ninety-six percent of patients with an elevated procalcitonin received antibiotics (median 6 days of therapy), compared to 82% with low procalcitonin (median 4 days of therapy) (adjusted OR:3.3, P < 0.001). We observed elevated initial procalcitonin in many COVID patients without concurrent bacterial co-infections which potentially contributed to antibiotic over-prescribing.Entities:
Keywords: Antimicrobial stewardship; Bacterial co-infection; COVID-19; Procalcitonin
Mesh:
Substances:
Year: 2022 PMID: 35635888 PMCID: PMC9065691 DOI: 10.1016/j.diagmicrobio.2022.115721
Source DB: PubMed Journal: Diagn Microbiol Infect Dis ISSN: 0732-8893 Impact factor: 2.983
Patient characteristics by initial procalcitonin category.
| Characteristic | Low procalcitonin (≤0.5 ng/mL) ( | High procalcitonin (>0.5 ng/mL) ( | |||
|---|---|---|---|---|---|
| n/median | %/IQR | n/median | %/IQR | ||
| Age | 63 | 52-73 | 63 | 53-72 | 0.79 |
| Female | 224 | 46% | 133 | 40% | 0.07 |
| BMI | 29.4 | 25.2-34.3 | 28.80 | 23.9-33.3 | 0.71 |
| Immune Suppressed* | 108 | 22% | 136 | 41% | <0.01 |
| Race/Ethnicity | |||||
| Hispanic/Latino | 169 | 35% | 108 | 32% | 0.35 |
| Non-Hispanic Black | 169 | 35% | 135 | 40% | |
| Non-Hispanic White | 46 | 10% | 22 | 7% | |
| Asian | 15 | 3% | 14 | 4% | |
| Other | 33 | 7% | 26 | 8% | |
| Unavailable | 52 | 11% | 30 | 9% | |
| Location Prior to Admission | |||||
| Non-healthcare Facility point of Origin | 401 | 83% | 257 | 77% | 0.2 |
| Clinic or Physician's Office | 12 | 2% | 9 | 3% | |
| Transfer from another Hospital or Health Care Facility | 12 | 2% | 17 | 5% | |
| Transfer From SNF, ICF or ALF | 50 | 10% | 44 | 13% | |
| Missing | 9 | 2% | 8 | 2% | |
IQR = inter-quartile range; BMI = body mass index; SNF = skilled nursing facility; ICF = intermediate care facility; ALF = assisted living facility; CRP = C-reactive protein; WBC = white blood count; AKI = acute kidney injury; ICU = intensive care unit.
Baseline immunosuppression was defined as chronic diabetes, HIV, chronic hepatitis C, active malignancy, organ transplant, rheumatologic disease, or chronic receipt of immunosuppressive medications
Sensitivity and specificity of procalcitonin for co-infections in COVID-19 patients.
| >0.25 ng/mL | >0.5 ng/mL | 1 ng/mL | |
|---|---|---|---|
| Sensitivity | 82% | 58% | 44% |
| Specificity | 47% | 61% | 71% |
| Positive Predictive Value | 13% | 13% | 13% |
| Negative Predictive Value | 96% | 94% | 93% |
Patient characteristics by initial co-infection status.
| Characteristic | No co-infection ( | Confirmed co-infection ( | |||
|---|---|---|---|---|---|
| n/median | %/IQR | n/median | %/IQR | ||
| Age | 63 | 53-73 | 61 | 51-70 | 0.04 |
| Female | 327 | 44% | 30 | 41% | 0.35 |
| BMI | 29.10 | 25-33 | 30.60 | 25-38 | 0.40 |
| Immune Suppressed* | 212 | 28% | 32 | 44% | 0.01 |
| Race/Ethnicity | |||||
| Hispanic/Latino | 258 | 35% | 19 | 26% | 0.06 |
| Non-Hispanic Black | 269 | 36% | 35 | 48% | |
| Non-Hispanic White | 65 | 9% | 3 | 4% | |
| Asian | 27 | 4% | 2 | 3% | |
| Other | 50 | 7% | 9 | 12% | |
| Unavailable | 77 | 10% | 5 | 7% | |
| Location Prior to Admission | |||||
| Non-healthcare Facility point of Origin | 605 | 81% | 53 | 73% | 0.08 |
| Clinic or Physician's Office | 20 | 3% | 1 | 1% | |
| Transfer from another Hospital or Health Care Facility | 23 | 3% | 6 | 8% | |
| Transfer From SNF, ICF or ALF | 82 | 11% | 12 | 16% | |
| Missing | 16 | 2% | 1 | 1% | |
IQR = inter-quartile range; BMI = body mass index; SNF = skilled nursing facility; ICF = intermediate care facility; ALF = assisted living facility; CRP = C-reactive protein; WBC = white blood count, AKI = acute kidney injury; ICU = intensive care unit.
Baseline immunosuppression was defined as chronic diabetes, HIV, chronic hepatitis C, active malignancy, organ transplant, rheumatologic disease, or chronic receipt of immunosuppressive medications