Anosmia and Dysgeusia in the Absence of Other Respiratory Diseases: Should COVID-19 Infection Be Considered?

We describe two elderly patients evaluated at emergency departments for anosmia/dysgeusia in the absence of any other respiratory symptoms prior to or upon admission. In the current epidemiological context, clinical and biological work-up led to a diagnosis of COVID-19 infection. Unfortunately, one of the patients died during hospitalization, but the other recovered and was discharged. LEARNING POINTS: In the current epidemiological situation, anosmia and dysgeusia in the absence of other respiratory conditions should be carefully evaluated.Special attention should be given to patients with non-classic COVID-19 symptoms in order to reduce transmission and protect health providers.

Thrombocytopenia in the Course of COVID-19 Infection.

We report three cases of severe thrombocytopenia during COVID-19 infection associated with either cutaneous purpura or mucosal bleeding. The initial investigations ruled out other causes of thrombocytopenia. Two of the patients were treated with intravenous immunoglobulins and eltrombopag, while the third recovered spontaneously. A good clinical and biological response was achieved in all patients leading to hospital discharge. LEARNING POINTS: Immune thrombocytopenia should be considered in COVID-19-infected patients presenting with thrombocytopenia.Coronavirus-related thrombocytopenia can be severe and life-threatening.Despite the severity of coronavirus-related immune thrombocytopenia, recovery may be spontaneous or achieved following immunoglobulin or platelet growth factor administration.

Cutaneous Complications Secondary to Haemostasis Abnormalities in COVID-19 Infection.

We describe the case of a patient hospitalized for acute decompensated heart failure in a standard medical ward. During hospitalization, he was diagnosed with COVID-19 and transferred to a special unit. The clinical course was marked by worsening of the respiratory disease, the development of right parotiditis and thrombosis of the left internal jugular vein. Therapeutic anticoagulation was initiated and 2 days later, the minimal dermatoporosis lesions previously present in the upper extremities evolved to haemorrhagic bullae with intra-bullae blood clots and dissecting haematomas. Surgical management of the dissecting haematomas was difficult in the context of haemostasis abnormalities. The patient died 29 days after hospital admission. LEARNING POINTS: Single room accommodation should be preferred to double room accommodation in standard wards during the COVID-19 pandemic.Anticoagulation therapy and the presence of lupus anticoagulant may induce cutaneous complications during COVID-19 infection.The discontinuation of anticoagulation therapy did not help improve the management of cutaneous lesions.

Glycemic Disorder Risk Remote Monitoring Program in the COVID-19 Very Elderly Patients: Preliminary Results.

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has necessitated the use of new technologies and new processes to care for hospitalized patients, including diabetes patients. This was the basis for the "GER-e-TEC COVID study," an experiment involving the use of the smart MyPredi TM e-platform to automatically detect the exacerbation of glycemic disorder risk in COVID-19 older diabetic patients. Methods: The MyPredi TM platform is connected to a medical analysis system that receives physiological data from medical sensors in real time and analyzes this data to generate (when necessary) alerts. An experiment was conducted between December 14th, 2020 and February 25th, 2021 to test this alert system. During this time, the platform was used on COVID-19 patients being monitored in an internal medicine COVID-19 unit at the University Hospital of Strasbourg. The alerts were compiled and analyzed in terms of sensitivity, specificity, positive and negative predictive values with respect to clinical data. Results: 10 older diabetic COVID-19 patients in total were monitored remotely, six of whom were male. The mean age of the patients was 84.1 years. The patients used the telemedicine solution for an average of 14.5 days. 142 alerts were emitted for the glycemic disorder risk indicating hyperglycemia, with an average of 20.3 alerts per patient and a standard deviation of 26.6. In our study, we did not note any hypoglycemia, so the system emitted any alerts. For the sensitivity of alerts emitted, the results were extremely satisfactory, and also in terms of positive and negative predictive values. In terms of survival analysis, the number of alerts and gender played no role in the length of the hospital stay, regardless of the reason for the hospitalization (COVID-19 management). Conclusion: This work is a pilot study with preliminary results. To date, relatively few projects and trials in diabetic patients have been run within the "telemedicine 2.0" setting, particularly using AI, ICT and the Web 2.0 in the era of COVID-19 disease.

Results of the Second Phase of the GER-e-TEC Experiment concerning the Telemonitoring of Elderly Patients Affected by COVID-19 Disease to Detect the Exacerbation of Geriatric Syndromes.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has wreaked health and economic damage globally. This pandemic has created a difficult challenge for global public health. The coronavirus disease 2019 (COVID-19) pandemic has necessitated the use of new technologies and new processes to care for hospitalized patients, including elderly patients. Our team developed a telemonitoring program focused on the prevention of geriatric syndromes, the "GER-e-TEC COVID study". METHODS: This second phase took place during the 3rd wave of the epidemic in France, between 14 December 2020 and 25 February 2021, conducted in the University Hospital of Strasbourg. RESULTS: 30 elderly patients affected by COVID-19 disease were monitored remotely; the mean age was 85.9 years and a male/female ratio of 1.5 to 1.11 (36.7%) died during the experiment. The patients used the telemedicine solution for an average of 27.3 days. 140,260 measurements were taken while monitoring the geriatric syndromes of the entire patient group. 4675 measurements were recorded per patient for geriatric disorders and risks. 319 measurements were recorded per patient per day. The telemedicine solution emitted a total of 1245 alerts while monitoring the geriatric syndromes of the entire patient group. In terms of sensitivity, the results were 100% for all geriatric risks and extremely satisfactory in terms of positive and negative predictive values. Survival analyses showed that gender played no role in the length of the hospital stay, regardless of the reason for the hospitalization (decompensated heart failure (p = 0.45), deterioration of general condition (p = 0.12), but significant for death (p = 0.028)). The analyses revealed that the length of the hospital stay was not affected by the number of alerts. The results concerning the predictive nature of alerts are satisfactory. CONCLUSIONS: The MyPredi™ telemedicine system allows for the generation of automatic, non-intrusive alerts when the health of a COVID-19 elderly patient deteriorates due to risks associated with geriatric syndromes.

First Test of an Automated Detection Platform to Identify Risk of Decompensation in Elderly Patients.

INTRODUCTION: We tested the MyPredi™ e-platform which is dedicated to the automated, intelligent detection of situations posing a risk of decompensation in geriatric patients. OBJECTIVE: The goal was to validate the technological choices, to consolidate the system and to test the robustness of the MyPredi™ e-platform through daily use. RESULTS: The telemedicine solution took 3,552 measurements for a hospitalized patient during her stay, with an average of 237 measurements per day, and issued 32 alerts, with an average of 2 alerts per day. The main risk was heart failure which generated the most alerts (n=13). The platform had 100% sensitivity for all geriatric risks, and had very satisfactory positive and negative predictive values. CONCLUSION: The present experiment validates the technological choices, the tools and the solutions developed. LEARNING POINTS: Patients with chronic conditions can be monitored with telemedicine systems to optimise their management, particularly during the COVID-19 pandemic.The goal was to validate the technological choices, to consolidate the system and to test the robustness of the MyPredi™ e-platform, through daily use in an elderly patient.The present experiment demonstrates the relevance of the technological choices, the tools and the solutions developed.