| Literature DB >> 35208817 |
Daniele Roberto Giacobbe1,2, Stefano Di Bella3, Silvia Dettori1,2, Giorgia Brucci1,2, Verena Zerbato4, Riccardo Pol4, Ludovica Segat5, Pierlanfranco D'Agaro5, Erik Roman-Pognuz3, Federica Friso6, Luigi Principe7, Umberto Lucangelo6, Lorenzo Ball8,9, Chiara Robba8,9, Denise Battaglini9,10, Andrea De Maria1,2, Iole Brunetti9, Nicolò Patroniti8,9, Federica Briano1,2, Bianca Bruzzone11, Giulia Guarona11, Laura Magnasco2, Chiara Dentone2, Giancarlo Icardi1,11, Paolo Pelosi8,9, Roberto Luzzati3, Matteo Bassetti1,2.
Abstract
Reactivation of herpes simplex virus type 1 (HSV-1) has been described in critically ill patients with coronavirus disease 2019 (COVID-19) pneumonia. In the present two-center retrospective experience, we primarily aimed to assess the cumulative risk of HSV-1 reactivation detected on bronchoalveolar fluid (BALF) samples in invasively ventilated COVID-19 patients with worsening respiratory function. The secondary objectives were the identification of predictors for HSV-1 reactivation and the assessment of its possible prognostic impact. Overall, 41 patients met the study inclusion criteria, and 12/41 patients developed HSV-1 reactivation (29%). No independent predictors of HSV-1 reactivation were identified in the present study. No association was found between HSV-1 reactivation and mortality. Eleven out of 12 patients with HSV-1 reactivation received antiviral therapy with intravenous acyclovir. In conclusion, HSV-1 reactivation is frequently detected in intubated patients with COVID-19. An antiviral treatment in COVID-19 patients with HSV-1 reactivation and worsening respiratory function might be considered.Entities:
Keywords: BALF; COVID-19; HSV-1; SARS-CoV-2; herpes simplex virus; intensive care; reactivation
Year: 2022 PMID: 35208817 PMCID: PMC8875622 DOI: 10.3390/microorganisms10020362
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607
Characteristics of the study population.
| Variable | Total |
|---|---|
|
| |
| Age in years, median (IQR) | 65 (60–70) |
| Male sex | 33 (80) |
| Body mass index, median (IQR) | 27 (25–31) |
| Diabetes mellitus | 8 (20) |
| Hypertension | 23 (56) |
| Chronic obstructive pulmonary disease | 5 (12) |
| End-stage renal disease a | 4 (10) |
| Moderate/severe liver failure b | 0 (0) |
| Solid cancer | 2 (5) |
| Hematological malignancy | 1 (2) |
| HIV infection | 0 (0) |
| Charlson comorbidity index, median (IQR) | 3 (2–4) |
|
| |
| Blood CD4+ T cells (cell/mm3), median (IQR) c | 194 (125–260) |
| Blood CD8+ T cells (cell/mm3), median (IQR) c | 57 (51–94) |
| Blood CD4+/CD8+ T cells ratio, median (IQR) c | 2.6 (1.5–3.5) |
| Serum D-dimer (ng/mL), median (IQR) d | 2349 (1262–5477) |
| Serum albumin (g/L), median (IQR) d | 22.9 (19.6–27.9) |
| SOFA score, median (IQR) | 5 (4–6) |
| Days of NIV/CPAP before intubation, median (IQR) | 4 (2–6) |
|
| |
| Steroid treatment e | 38 (93) |
| Tocilizumab | 0 (0) |
| Remdesivir | 21 (51) |
Results are reported as number of patients (%) unless otherwise indicated. COVID-19, coronavirus disease 2019; CPAP, continuous positive airway pressure; NIV, noninvasive ventilation; HIV, human immunodeficiency virus; IQR, interquartile range; SOFA, sequential organ failure assessment. a Defined as estimated glomerular filtration rate < 15 mL/min/1.73 m2; b Defined as compensated or decompensated liver cirrhosis; c Information available for 17/41 patients; d Information available for 39/41 patients; e Dexamethasone 6–8 mg/die, methylprednisolone 0.5–1 mg/kg/die, or equivalent dosages of other steroids.
Figure 1Cumulative risk of HSV-1 reactivation in the study population, estimated by means of the Aalen–Johansen method, with HSV-1 reactivation as the event of interest, discharge from the intensive care unit as a right-censoring event, and death as a competing event. The time of origin was the day of the initial negative molecular test for HSV-1-DNA on BALF samples.
Univariable and multivariable analyses of potential predictors of HSV-1 reactivation *.
| Variable | Unadjusted |
| Adjusted |
|
|---|---|---|---|---|
| Age in years | 1.00 (0.96–1.05) | 0.860 | ||
| Male sex | 1.60 (0.35–7.30) | 0.547 | ||
| Body mass index | 0.99 (0.90–1.10) | 0.860 | ||
| Diabetes mellitus | 0.31 (0.04–2.47) | 0.274 | ||
| Hypertension | 1.53 (0.48–4.84) | 0.473 | ||
| Chronic obstructive pulmonary disease | 0.04 (0.00–42.50) | 0.039 | 0.99 (0.10–4.41) | 0.991 |
| End-stage renal disease | 0.71 (0.09–5.53) | 0.746 | ||
| Solid cancer | 4.28 (0.92–19.90) | 0.063 | 1.38 (0.01–14.85) | 0.839 |
| Hematological malignancy ** | 1.05 (0.01–8.05) | 0.973 | ||
| Charlson comorbidity index | 1.06 (0.77–1.45) | 0.730 | ||
| Blood CD4+ T cells (cell/mm3) | 1.00 (1.00–1.01) | 0.531 | ||
| Blood CD8+ T cells (cell/mm3) | 1.01 (1.00–1.01) | 0.290 | ||
| Blood CD4+/CD8+ T cells ratio | 0.91 (0.68–1.22) | 0.540 | ||
| Serum D-dimer (ng/mL) | 1.00 (1.00–1.00) | 0.905 | ||
| Serum albumin (g/L) | 0.95 (0.85–1.07) | 0.403 | ||
| SOFA score | 0.64 (0.40–1.03) | 0.067 | 0.84 (0.55–1.25) | 0.408 |
| Days of NIV/CPAP before intubation | 1.04 (0.91–1.20) | 0.572 | ||
| Steroid treatment ** | 0.31 (0.09–1.60) | 0.110 | ||
| Remdesivir | 0.88 (0.28–2.73) | 0.823 |
COVID-19, coronavirus disease 2019; CI, confidence intervals; CPAP, continuous positive airway pressure; NIV, noninvasive ventilation; HR, hazard ratio; SOFA, sequential organ failure assessment. * The variables moderate/severe liver failure, human immunodeficiency virus (HIV) infection, and tocilizumab therapy were not included in the model because they were not present in patients fulfilling inclusion criteria for this specific study. ** Standard univariable Cox regression models did not converge in the presence of very small groups (n = 1 for patients with hematological malignancies and n = 2 for patients not receiving steroid treatment). The presented unadjusted HR and the 95% CI for these variables were obtained by means of penalized, univariable Cox regression models with Firth’s correction, built using the coxphf package for R Statistical Software (R Foundation for Statistical Computing, Vienna, Austria). *** Nonconvergence was observed with the standard multivariable Cox regression model. Therefore, the presented adjusted HRs and their 95% CI were obtained by means of penalized, multivariable Cox regression models with Firth’s correction, built using the coxphf package for R Statistical Software (R Foundation for Statistical Computing, Vienna, Austria).
Univariable and multivariable analyses of the potential impact on mortality of pulmonary infectious events in intubated COVID-19 patients.
| Variables * | Unadjusted HR |
| Adjusted HR |
|
|---|---|---|---|---|
| HSV-1 reactivation | 1.43 (0.38–5.46) | 0.598 | 1.07 (0.24–4.86) | 0.928 |
| CMV reactivation | 0.43 (0.09–1.99) | 0.280 | 0.25 (0.05–1.27) | 0.096 |
| CAPA | 1.31 (0.29–5.98) | 0.726 | 0.68 (0.11–4.16) | 0.679 |
| VABP | 2.34 (0.65–8.51) | 0.195 | 3.73 (0.93–14.88) | 0.063 |
CAPA, coronavirus disease 2019-associated pulmonary aspergillosis; COVID-19, coronavirus disease 2019; CI, confidence intervals; CMV, cytomegalovirus; HSV-1, herpes simplex virus 1; HR, hazard ratio; VABP, ventilator-associated bacterial pneumonia. * All variables were included in Cox regression models as time-varying factors (see study methods).