Use of telehealth: Evidence from French teleconsultation for women's healthcare, prior and during COVID-19 pandemic.

Prior to the COVID-19 pandemic, French healthcare practitioners seldom used teleconsultations in France. COVID-19 has brought with it a great need for the use of teleconsultation and other interventions using digital technology. The study's objective was to identify how French healthcare practitioners used teleconsultation for obstetrics and gynecology care services before and during COVID-19. Our study used a survey of French healthcare practitioners specializing in obstetrics and gynecology from 1 March 2020, to 31 April 2020. We first described the global picture of the teleconsultation context prior to COVID-19 and then during the first lockdown measures. For both contexts, we set up three aspects: 1- teleconsultation regarding providers' ability; 2- teleconsultation with regards to its technological features; and 3- teleconsultation for which type of healthcare. Second, we mobilized logit models to study the determinant factors of teleconsultation use as well as what drives provider satisfaction with teleconsultation practice. We show the central role of training, and the importance of some main digital technology benefits, namely improving public health, responding to patients' requests, and facilitating healthcare access. We also exhibit the importance of the limitations specifically related to the lack of convenience in digital technology use and the lack of trust in the digital service provided. Our results guide policy makers on suppliers' motivation and needs for teleconsultation adoption. These results highlight the conditions for efficient use of teleconsultation.

Cardiovascular Risk Factors and the Severity of COVID-19 Disease.

Background and objective Several cardiovascular risk factors have emerged as important determinants of severe illness and death among coronavirus disease 2019 (COVID-19) patients. However, the full impact of these cardiovascular risk factors is still under investigation. This study aimed to investigate the association between patients' level of cardiovascular risk and the severity of COVID-19. Materials and methods This observational study included all adult patients with COVID-19 hospitalized at Sheikh Khalifa Ibn Zaid International University Hospital from March 20 to May 10, 2020. The cardiovascular risk level was assessed by the doctor responsible for each patient based on the 2019 European Society of Cardiology (ESC), the European Atherosclerosis Society (EAS), and the European Association for the Study of Diabetes (EASD) guidelines. We examined the association between the patients' level of cardiovascular risk and their severity of COVID-19 disease by using a logistic regression model. Results Among 133 patients with confirmed COVID-19, 46.6% had a low cardiovascular risk level, 19.5% had a moderate risk level, 15.8% had a high risk level, and 18.1% was found to have a very high risk level. Patients with different cardiovascular risk levels had significantly different rates of complications including secondary infection (p-value: <0.001), acute respiratory distress syndrome (ARDS) (p-value = 0.017), intensive care unit (ICU) admission (p-value: <0.001), and death (p-value: <0.001). A patient's very high cardiovascular risk level versus low, moderate, or high cardiovascular risk level was independently associated with ICU admission [OR = 6.42, 95% CI: (1.45-28.30)]. Conclusion Based on our findings, an increased level of cardiovascular risk among patients was strongly associated with the severity of COVID-19. This study also highlights the need for assessing cardiovascular risk factors in all patients with COVID-19.

Obesity and Disease Severity Among Patients With COVID-19.

Background Obesity can be associated with one or more co-morbidities that worsen the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Studies demonstrated that severe forms of coronavirus disease (COVID-19) have occurred in elderly patients and patients with co-morbidities such as diabetes, hypertension, and cardiovascular diseases. Objective This study investigated the impact of obesity on COVID-19 severity, irrespective of other individual factors. Methods This retrospective observational study included all adult patients with confirmed COVID-19 infection, who were admitted to Sheikh Khalifa Ibn Zaid International University Hospital between March 20 and May 10, 2020. First, we compared patients with and those without obesity in terms of demographic characteristics, co-morbidities, clinical symptoms, and outcomes. Further, using logistic regression models, we analyzed the association between obesity and intensive care unit (ICU) admission. Also, we examined whether the association between obesity and ICU admission was also consistent among overweight patients. Results The study population included 107 patients with confirmed COVID-19 infection. Obese patients have been admitted in ICU more than patients without obesity (P-value = 0.035). While adjusting for other risk factors for ICU admission, we found that obesity was an independent risk factor for ICU admission (OR = 5.04, 95% CI (1.14-22.37)). When we examined the association of both obesity and overweight with ICU admission, we found that only obesity was significantly associated with ICU admission (OR = 9.11, 95% CI (1.49-55.84)). Conclusion Our study found that obesity was strongly associated with severity of COVID-19. The risk of ICU admission is greater in the presence of obesity. Physicians should be awarded to the need of specific and early management of obese patients with COVID-19 disease.

Characteristics and outcomes of diabetic patients infected by the SARS-CoV-2.

Diabetes is considered a risk factor for complications due to COVID-19. In order to clarify this association, we are exploring the characteristics, the clinical signs, the outcomes and death in diabetic patients with COVID-19. In this retrospective observational study we are evaluating the demographic characteristics, the comorbidities of the patients, the clinical signs of the infection, the signs of clinical severity, the biological assessment at admission, the treatment, the outcomes and the deaths of 133 patients with COVID-19, of which 25 (19,4%) had diabetes. In the compared COVID-19 patients, with and without diabetes, the patients with diabetes were older, had higher blood pressure and more cardio-vascular diseases. Severe forms were more present in diabetic patients (56% versus 27.1%). Weight loss was higher in diabetic patients (6kg versus 3kg). Biologically, diabetic patients had higher levels of C-reactive protein (28 versus 5.8mg/l), procalcitonin (0.28 versus 0,13ng/l), ferritin (501 versus 140ng/ml), lactic dehydrogenase (268 versus 226IU/l) and of D. dimer (665 versus 444µg/l). Diabetic patients required more oxygen therapy (60% versus 26.9%), more mechanical ventilation (20% versus 8.3%) and more frequent admission to the intensive care unit (60% versus 27.8%). They presented more thromboembolic complications (12% versus 9%) but there were not significant differences in the other outcomes and in death rates. The excess of morbidity and mortality due to diabetes was still not fully clarified; the role of demographic factors, the interaction of mediations with ACE-2 receptors and the role of co-morbidities will all need to be studied in order to identify the patient at risk profile, i.e. who can develop severe forms of the diseases and more outcomes. The early identification of a possible hyper inflammation could be very valuable. More attention should be paid to patients with COVID-19 with diabetes because they are at a high risk of complications.

C-reactive protein as an early predictor of COVID-19 severity.

BACKGROUND: Data for predicting severity of patients with COVID-19 infection are sparse and still under investigation. We retrospectively studied whether the admission serum C-reactive protein level (CRP) can serve as nearly predictor of disease severity during COVID-19 infection in comparison with other hematologic and inflammatory markers. METHODS: We included all consecutive patients who were admitted in Cheikh Khalifa International University Hospital, Casablanca, Morocco, between February to April 2020, with a confirmed diagnosis of COVID-19 infection using SARS-CoV-2 viral nucleic acid via RT-PCR. The complete blood count and serum CRP level were routinely measured on admission. All clinical and laboratory data of patients were collected and analyzed. The classification of the disease severity was in accordance with the clinical classification of the WHO interim guidance, and the management of patients were adapted to the national management guideline. We estimated receiver operating characteristic (ROC) curves of blood routine parameters as well as their association with COVID-19 disease severity. RESULTS: 145 COVID-19 patients were included in the study. The median age (range) was 50 (32-63) years, and 75 (51.7%) were men. 101 patients were classified in the non-severe group and 44 patients in the severe group. Based on disease severity, significant differences were observed in the age, gender, comorbidities, and respiratory symptom. Similarly, the biological analysis found significant differences for the neutrophil count, lymphocyte count, eosinophil count, and CRP level. However, according to ROC curves of these laboratory biomarkers, the AUC of CRP at 0.872 was significantly higher than all other parameters. Further, CRP was independently associated with severity of COVID-19 disease (OR = 1.11, 95% IC (1.01-1.22) and or = 1.13, 95% IC (1.04-1.23)). CONCLUSIONS: This study found that the CRP level at admission represent a simple and independent factor that can be useful for early detection of severity during COVID-19 and the easy guidance of primary care.