Comparison of virus aerosol concentrations across a face shield worn on a healthcare personnel during a simulated patient cough.

BACKGROUND: Patients diagnosed with coronavirus disease 2019 (COVID-19) aerosolize severe acute respiratory coronavirus virus 2 (SARS-CoV-2) via respiratory efforts, expose, and possibly infect healthcare personnel (HCP). To prevent transmission of SARS-CoV-2 HCP have been required to wear personal protective equipment (PPE) during patient care. Early in the COVID-19 pandemic, face shields were used as an approach to control HCP exposure to SARS-CoV-2, including eye protection. METHODS: An MS2 bacteriophage was used as a surrogate for SARS-CoV-2 and was aerosolized using a coughing machine. A simulated HCP wearing a disposable plastic face shield was placed 0.41 m (16 inches) away from the coughing machine. The aerosolized virus was sampled using SKC biosamplers on the inside (near the mouth of the simulated HCP) and the outside of the face shield. The aerosolized virus collected by the SKC Biosampler was analyzed using a viability assay. Optical particle counters (OPCs) were placed next to the biosamplers to measure the particle concentration. RESULTS: There was a statistically significant reduction (P < .0006) in viable virus concentration on the inside of the face shield compared to the outside of the face shield. The particle concentration was significantly lower on the inside of the face shield compared to the outside of the face shield for 12 of the 16 particle sizes measured (P < .05). CONCLUSIONS: Reductions in virus and particle concentrations were observed on the inside of the face shield; however, viable virus was measured on the inside of the face shield, in the breathing zone of the HCP. Therefore, other exposure control methods need to be used to prevent transmission from virus aerosol.

Evaluation of face shields used during aerosol generating procedures.

Transnasal flexible laryngoscopy is considered an aerosol generating procedure. A negative pressure face shield (NPFS) was developed to control aerosol from the patient during laryngoscopy. The purpose of this study was to determine the effectiveness of the NPFS at controlling virus aerosol compared to a standard disposable plastic face shield. The face shields were placed on a simulated patient coughing machine. MS2 bacteriophage was used as a surrogate for SARS-CoV-2 and was aerosolized using the coughing machine. The aerosolized virus was sampled on the inside and outside of the face shields. The virus aerosol concentration was not significantly different between the inside and outside of the traditional plastic face shield (p = 0.12). However, the particle concentrations across all particle sizes measured were significantly decreased outside the face shield. The virus and particle concentrations were significantly decreased (p < 0.01) outside the NPFS operating at a flow rate of 38.6 L per minute (LPM). When the NPFS was operated at 10 LPM, virus concentrations were not significantly different (p = 0.09) across the face shield. However, the number particle concentrations across all particle sizes measured were significantly different (p < 0.05).

The Impact of Comorbid Chronic Pain on Pharmacotherapy for Veterans with Post-Traumatic Stress Disorder.

OBJECTIVE: Chronic pain can worsen PTSD symptomatology and may increase the risk of the prescription of multiple central nervous system (CNS)-active medications. The objective is to determine the impact of chronic pain on the number of CNS medications, including psychiatric medications, as well as the amount of medication changes. METHODS: Veterans Affairs (VA) administrative data were used to identify VA-served Veterans with PTSD (N = 637,428) who had chronic pain (50.3%) and did not have chronic pain (49.7%) in 2020. The outcomes included the number of changes in psychiatric medications and the number of currently prescribed CNS-active mediations during a one-year observation period. RESULTS: The number of changes in psychiatric medications was significantly higher for those with chronic pain (mean (M) = 1.8) versus those without chronic pain (M = 1.6) (Z = 38.4, p < 0.001). The mean number of concurrent CNS-active medications were significantly higher for those with chronic pain (M = 2.7) versus those without chronic pain (M = 2.0) (Z = 179.7, p < 0.001). These differences persisted after adjustment for confounding factors using negative binomial regression. CONCLUSIONS: Veterans with comorbid chronic pain and PTSD are at increased risk for a higher number of medication changes and for receiving CNS-active polytherapy.

Incidence and risk factors for postpartum mood and anxiety disorders among women veterans.

BACKGROUND: Our aim was to determine rates of postpartum mood and anxiety disorders (PMADs) among U.S. women Veterans and the overlap among PMADs. We further sought to identify PMAD risk factors, including those unique to military service. METHODS: A national sample of women Veterans completed a computer-assisted telephone interview (N = 1414). Eligible participants were aged 20-45 and had separated from service within the last 10 years. Self-report measures included demographics, general health, reproductive health, military exposures, sexual assault, childhood trauma, and posttraumatic stress disorder (PTSD). The PMADs of interest were postpartum depression (PPD), postpartum anxiety (PPA) and postpartum PTSD (PPPTSD). This analysis included 1039 women Veterans who had ever been pregnant and who answered questions about PPMDs related to their most recent pregnancy. RESULTS: A third (340/1039, 32.7%) of participants were diagnosed with at least one PMAD and one-fifth (215/1039, 20.7%) with two or more. Risk factors common for developing a PMAD included: a mental health diagnosis prior to pregnancy, a self-report of ever having had a traumatic birth experience, and most recent pregnancy occurring during military service. Additional risk factors were found for PPD and PPPTSD. CONCLUSION: Women Veterans may be at an increased risk for developing PMADs due to high rates of lifetime sexual assault, mental health disorders, and military-specific factors including giving birth during military service and military combat deployment exposures.