Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add filters

Language
Year range
1.
Indian J Anaesth ; 65(11): 820-829, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1547549

ABSTRACT

BACKGROUND AND AIMS: The coronavirus disease 2019 (COVID-19) pandemic has initiated modified protocols for aerosol-generating procedures. A simulation study using dye was conducted to highlight contamination at intubation and extubation and to encourage adherence to the new COVID-19 protocol among anaesthesia personnel in our institution. METHODS: A video demonstrating the new COVID-19 protocols was circulated in the Department of Anaesthesiology a week prior to the study. Thirty teams, each comprising an anaesthesia resident and a staff technician, were enroled. Each team was asked to demonstrate the steps of preparation, intubation and extubation on a mannequin in a COVID-19 scenario. Checklists were used to assess points of contamination and adherence to the protocols. Following debriefing, a repeat simulation was conducted. The use of a dye highlighted the points of contamination. The study subjects provided feedback on the usefulness of the session and practical difficulties encountered in adapting to the new protocols. RESULTS: The average contamination scores decreased by 3.4 (95% confidence interval (CI): 2.4-4.4, P < 0.001) in the post-debrief session. Adherence to the steps of the modified protocol improved by a score of 2.7 (CI: 3.6-1.83) among anaesthesiologists and by 4.3 (CI: 5.3-3.3) among technicians. Further, 93% felt that the use of the colour indicator reinforced awareness of the possible points of contamination. CONCLUSION: Simulation with a low-fidelity mannequin by using colour indicator for secretions is an effective teaching tool to reduce health hazards during airway management in COVID-19 times.

2.
Indian J Surg Oncol ; 12(Suppl 2): 242-249, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1130935

ABSTRACT

Oral cancers are the leading cause of cancer-related death in Indian men. Currently steps to contain the transmission and treatment of COVID-19 pandemic have crippled the entire health care system. With hospitals running short of resources, the oncological practice became standstill, especially during the initial phase. This is a retrospective study among patients who presented to our tertiary care hospital in early 3 months of COVID-19 era(ECE) with respect to pre-COVID-19 era(PCE). The study includes patients discussed in multidisciplinary tumor board(MDT)(421 in ECE Vs 31 in PCE) and those who underwent surgery(192 in ECE Vs 26 in PCE). The presentation and outcomes of oral carcinoma were compared between the two eras. There was a significant drop in the number of patients who presented during ECE. Though mean age and gender remained comparable between groups, there was a statistical difference in relation to demographic profile of patient (p value < 0.001). Among operated during ECE, 80% had a significantly advanced tumor stage (p value < 0.034) and advanced composite stage (p value < 0.049). Among patients discussed in MDT during ECE, 38.7% were deemed inoperable which is double the number when compared with PCE (p value < 0.009). Results of our study showed a higher incidence of advanced stage disease during ECE, with many patient turning inoperable. Thus, the survival of newly diagnosed oral carcinoma patients will be worser. In the management of oral cancer both early stage and advanced stage should have the same priority. Immediate resumption of safe oncology services is mandatory to curtail the current issues.

3.
researchsquare; 2021.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-223608.v1

ABSTRACT

The novel Coronavirus respiratory disease 2019 (COVID-19) is still expanding through the world since it started in Wuhan (China) on December 2019 reporting a number of more than 84.4 millions cases and 1.8 millions deaths on January 3rd 2021.In this work and to forecast the COVID-19 cases in Algeria, we used two models: the logistic growth model and the polynomial regression model using data of COVID-19 cases reported by the Algerian ministry of health from February 25th to December 2nd, 2020. Results showed that the polynomial regression model fitted better the data of COVID-19 in Algeria the Logistic model. The first model estimated the number of cases on January, 19th 2021 at 387673 cases. This model could help the Algerian authorities in the fighting against this disease.


Subject(s)
COVID-19 , Coronavirus Infections
SELECTION OF CITATIONS
SEARCH DETAIL