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1.
United European Gastroenterol J ; 11(2): 171-178, 2023 03.
Article in English | MEDLINE | ID: covidwho-2254442

ABSTRACT

The SARS-Cov-2 disease disrupted essential hospital procedures, such as gastrointestinal (GI) endoscopy, due to concerns about air transmission and the risk of exposing health care workers. With the spread of the pandemic, air transmission was considered as the main source of SARS-Cov2 transmission. This raised the problem of transmission by aerosolization of viral particles in operating rooms as well as endoscopy units. This is in line with the known airborne transmission of many other respiratory viruses. The risk of SARS-Cov-2 transmission during GI endoscopy was initially reduced by controlled measures, involving personal protections (mask…), restricted access to endoscopy rooms, and detection of infected patients. Gastrointestinal endoscopy generates aerosols, which may carry viruses. In addition, the endoscopy system may facilitate the diffusion of virus particles or fomites considering the forced-air cooling system used to maintain a stable temperature inside the box (25°C). The volume of air that goes through the light source box is high (240-300 m3 for a 1-h period). Moreover, the light system contains an air pump to inflate air inside the gut lumen. In order to isolate people from hazard, different levels of protection and solutions to avoid airborne transmission of microorganisms should be proposed, such as the reinforcement of personal protective equipment, the change in the way people work and engineering control of the risk.


Subject(s)
COVID-19 , Humans , SARS-CoV-2 , RNA, Viral , Respiratory Aerosols and Droplets , Endoscopy, Gastrointestinal
2.
Endosc Int Open ; 10(12): E1589-E1594, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2186292

ABSTRACT

Background and study aims Evidence for the modes of transmission of SARS-CoV-2 remains controversial. Recently, the potential for airborne spread of SARS-CoV-2 has been stressed. Air circulation in gastrointestinal light source boxes and endoscopes could be implicated in airborne transmission of microorganisms. Methods The ENDOBOX SC is a 600 × 600 mm cube designed to contain any type of machine used during gastrointestinal endoscopy. It allows for a 100-mm space between a machine and the walls of the ENDOBOX SC. To use the ENDOBOX SC, it is connected to the medical air system and it provides positive flow from the box to the endoscopy room. The ENDOBOX SC uses medical air to inflate the digestive tract and to decrease the temperature induced by the microprocessors or by the lamp. ENDOBOX SC has been investigated in different environments. Results An endoscopic procedure performed without ventilation was interrupted after 40 minutes to prevent computer damage. During the first 30 minutes, the temperature increased from 18 °C to 31 °C with a LED system. The procedure with fans identified variations in temperature inside the ENDOBOX SC from 21 to 26 °C (±â€Š5 °C) 1 hour after the start of the procedure. The temperature was stable for the next 3 hours. Conclusions ENDOBOX SC prevents the increase in temperature induced by lamps and processors, allows access to all necessary connections into the endoscopic columns, and creates a sterile and positive pressure volume, which prevents potential contamination from microorganisms.

4.
J Infect ; 81(6): e4-e6, 2020 12.
Article in English | MEDLINE | ID: covidwho-728706

ABSTRACT

OBJECTIVE: To assess post-discharge persistent symptoms and health-related quality of life (HRQoL) of patients hospitalized in a COVID-19 ward unit more than 100 days after their admission. METHODS: All eligible patients were contacted by phone by trained physicians and were asked to answer to a dedicated questionnaire. Patients managed in hospital ward without needing intensive care were compared with those who were transferred in intensive care units (ICU). RESULTS: We included 120 patients after a mean (±SD) of 110.9 (±11.1) days following admission. The most frequently reported persistent symptoms were fatigue (55%), dyspnoea (42%), loss of memory (34%), concentration and sleep disorders (28% and 30.8%, respectively). Comparisons between ward- and ICU patients led to no statistically significant differences regarding those symptoms. In both group, EQ-5D (mobility, self-care, pain, anxiety or depression, usual activity) was altered with a slight difference in pain in the ICU group. CONCLUSION: Most patients requiring hospitalization for COVID-19 still have persistent symptoms. While there were few differences between HRQoL between ward and ICU patients, our findings must be confirmed in larger cohorts, including more severe patients.


Subject(s)
COVID-19/epidemiology , Hospitalization , Patient Discharge , Quality of Life , Aged , Aged, 80 and over , Anxiety/epidemiology , Fatigue/epidemiology , Female , Humans , Intensive Care Units , Male , Middle Aged , Pain/epidemiology , SARS-CoV-2 , Surveys and Questionnaires
5.
Ann Med ; 52(7): 367-375, 2020 11.
Article in English | MEDLINE | ID: covidwho-684538

ABSTRACT

OBJECTIVE: To identify predictive factors of unfavourable outcome among patients hospitalized for COVID-19. METHODS: We conducted a monocentric retrospective cohort study of COVID-19 patients hospitalized in Paris area. An unfavourable outcome was defined as the need for artificial ventilation and/or death. Characteristics at admission were analysed to identify factors predictive of unfavourable outcome using multivariable Cox proportional hazard models. Based on the results, a nomogram to predict 14-day probability of poor outcome was proposed. RESULTS: Between March 15th and April 14th, 2020, 279 COVID-19 patients were hospitalized after a median of 7 days after the first symptoms. Among them, 88 (31.5%) patients had an unfavourable outcome: 48 were admitted to the ICU for artificial ventilation, and 40 patients died without being admitted to ICU. Multivariable analyses retained age, overweight, polypnoea, fever, high C-reactive protein, elevated us troponin-I, and lymphopenia as risk factors of an unfavourable outcome. A nomogram was established with sufficient discriminatory power (C-index 0.75), and proper consistence between the prediction and the observation. CONCLUSION: We identified seven easily available prognostic factors and proposed a simple nomogram for early detection of patients at risk of aggravation, in order to optimize clinical care and initiate specific therapies. KEY MESSAGES Since novel coronavirus disease 2019 pandemic, a minority of patients develops severe respiratory distress syndrome, leading to death despite intensive care. Tools to identify patients at risk in European populations are lacking. In our series, age, respiratory rate, overweight, temperature, C-reactive protein, troponin and lymphocyte counts were risk factors of an unfavourable outcome in hospitalized adult patients. We propose an easy-to-use nomogram to predict unfavourable outcome for hospitalized adult patients to optimize clinical care and initiate specific therapies.


Subject(s)
Coronavirus Infections/physiopathology , Critical Care , Hospitalization , Nomograms , Pneumonia, Viral/physiopathology , Aged , Aged, 80 and over , COVID-19 , Cohort Studies , Coronavirus Infections/mortality , Coronavirus Infections/therapy , Female , Humans , Male , Middle Aged , Pandemics , Paris , Pneumonia, Viral/mortality , Pneumonia, Viral/therapy , Predictive Value of Tests , Prognosis , Proportional Hazards Models , Retrospective Studies , Risk Factors
7.
J Infect ; 81(3): e96-e98, 2020 09.
Article in English | MEDLINE | ID: covidwho-401340

ABSTRACT

OBJECTIVES: The CURB-65 is a severity score to predict mortality secondary to community acquired pneumonia and is widely used to identify patients who can be managed as outpatients. However, whether CURB-65 can be applicable to COVID-19 patients for the decision of outpatient treatment is still unknown. METHODS: We conducted a retrospective single-centre study assessing the performance of the CURB-65 to predict the risk of poor outcome, defined as the need for mechanical ventilation and/or death, among patients hospitalized for COVID-19. The association between the CURB-65 and the outcome was assessed by a univariable Cox proportional hazard regression model. RESULTS: A total of 279 patients were hospitalized between March 15th and April 14th, 2020. According to the CURB-65, 171 (61.3%) patients were considered at low risk (CURB-65 01), 66 (23.7%) at intermediate risk (CURB-65=2), and 42 (15.1%) had high risk of 30-day mortality (CURB-65 35). During the study period, 88 (31.5%) patients had a poor outcome. The CURB-65 was strongly associated with a poor outcome (Pfor linear trend <0.001). However, among patients with a CURB-65 of 01, thus considered at low risk, 36/171 (21.1%) had a poor outcome. CONCLUSIONS: Our study suggests that the applicability of CURB-65 to guide the decision of inpatient or outpatient care is scarce, as it does not safely identify patients who could be managed as outpatients.


Subject(s)
Community-Acquired Infections , Coronavirus Infections , Coronavirus , Pandemics , Pneumonia, Viral , Pneumonia , Ambulatory Care , Betacoronavirus , COVID-19 , Humans , Outpatients , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index , United Kingdom
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