Major Characteristics of Severity and Mortality in Diabetic Patients With COVID-19 and Establishment of Severity Risk Score.

Objectives: Diabetes is a risk factor for poor COVID-19 prognosis. The analysis of related prognostic factors in diabetic patients with COVID-19 would be helpful for further treatment of such patients. Methods: This retrospective study involved 3623 patients with COVID-19 (325 with diabetes). Clinical characteristics and laboratory tests were collected and compared between the diabetic group and the non-diabetic group. Binary logistic regression analysis was applied to explore risk factors associated in diabetic patients with COVID-19. A prediction model was built based on these risk factors. Results: The risk factors for higher mortality in diabetic patients with COVID-19 were dyspnea, lung disease, cardiovascular diseases, neutrophil, PLT count, and CKMB. Similarly, dyspnea, cardiovascular diseases, neutrophil, PLT count, and CKMB were risk factors related to the severity of diabetes with COVID-19. Based on these factors, a risk score was built to predict the severity of disease in diabetic patients with COVID-19. Patients with a score of 7 or higher had an odds ratio of 7.616. Conclusions: Dyspnea is a critical clinical manifestation that is closely related to the severity of disease in diabetic patients with COVID-19. Attention should also be paid to the neutrophil, PLT count and CKMB levels after admission.

Experiences and challenges in the health protection of medical teams in the Chinese Ebola treatment center, Liberia: a qualitative study.

BACKGROUND: Health care workers are at the frontline in the fight against infectious disease, and as a result are at a high risk of infection. During the 2014-2015 Ebola outbreak in West Africa, many health care workers contracted Ebola, some fatally. However, no members of the Chinese Anti-Ebola medical team, deployed to provide vital medical care in Liberia were infected. This study aims to understand how this zero infection rate was achieved. METHODS: Data was collected through 15 in-depth interviews with participants from the People's Liberation Army of China medical team which operated the Chinese Ebola Treatment Center from October 2014 to January 2015 in Liberia. Data were analysed using systematic framework analysis. RESULTS: This study found numerous bio-psycho-socio-behavioural risk factors that directly or indirectly threatened the health of the medical team working in the Chinese Ebola Treatment Center. These factors included social and emotional stress caused by: (1) the disruption of family and social networks; (2) adapting to a different culture; (3) and anxiety over social and political unrest in Liberia. Exposure to Ebola from patients and local co-workers, and the incorrect use of personal protective equipment due to fatigue was another major risk factor. Other risk factors identified were: (1) shortage of supplies; (2) lack of trained health personnel; (3) exposure to contaminated food and water; (4) and long working hours. Comprehensive efforts were taken throughout the mission to mitigate these factors. Every measure was taken to prevent the medical team's exposure to the Ebola virus, and to provide the medical team with safe, comfortable working and living environments. There were many challenges in maintaining the health safety of the team, such as the limited capability of the emergency command system (the standardized approach to the command, control, and coordination of an emergency response), and the lack of comprehensive international protocols for dealing with emerging infectious disease pandemics. CONCLUSIONS: The comprehensive and multidisciplinary measures employed to protect the health of the medical team proved successful even in Liberia's resource-limited setting. The global health community can learn valuable lessons from this experience which could improve the safety of health care workers in future emergencies. These lessons include: establishing capable command systems; implementing effective coordination mechanisms; providing adequate equipment; providing training for medical teams; investing in the development of global health professionals; and improving research on ways to protect health care workers.

Clinical and experimental study on angiopoietin-like protein 8 associated with proliferative diabetic retinopathy.

AIM: To confirm the role of angiopoietin-like protein 8 (Angptl 8) in proliferative diabetic retinopathy (PDR). METHODS: The sera and aqueous humor of 10 PDR patients and 10 non-diabetic retinopathy (NDR) patients (idiopathic macular hole patients) were collected and the expression of Angptl 8 was detected by enzyme linked immune-sorbent assay (ELISA). Experimental diabetes mice model was induced with streptozotocin. The expression of glycosylated hemoglobin and Angptl 8 in sera was detected. Recombinant Angptl 8 was re-infused into wild type (WT) diabetic mice and spatial frequency threshold and contrast sensitivity were measured. In vitro retinal pigment epithelium (RPE) were stimulated by recombinant Angptl 8 for 24h. MMT assay were used to detect cell proliferation. At the same time, qRT-PCR and Western blot was used to measure the expression of proliferation-related factors in PRE cells. RESULTS: The expression of Angptl 8 was markedly increased in the sera and aqueous humor of PDR patients (F=99.02, P<0.0001 in sera; t=10.42, P<0.0001 in aqueous). After successfully establishing the diabetic mice model, we found that glycosylated hemoglobin and Angptl 8 expression levels were increased. Re-infusion of recombinant Angptl 8 into WT diabetic mice could further decrease spatial frequency threshold and contrast sensitivity (P<0.01). In vitro, RPE cells stimulated by recombinant Angptl 8 could increase the relative absorbance of MMT assay (1.486±0.042 vs 1.000±0.104, P<0.05) and proliferating cell nuclear antigen (PCNA) expression (0.55±0.01 vs 0.29±0.03, P<0.05). The proliferative effect of Angptl 8 is mainly mediated by increasing the expression of proliferation-activating factors cyclin A1 (4.973±0.205 vs 2.720±0.197, P<0.05), cyclin F (5.690±0.219 vs 4.297±0.292, P<0.05) and E2F2 (2.297±0.102 vs 1.750±0.146, P<0.05), and reducing the expression of proliferation-inhibiting factors cdkn1 (2.370±0.074 vs 3.317±0.135, P<0.05) and cdkn2 (4.793±0.065 vs 5.387±0.149, P<0.05). CONCLUSION: The expression of Angptl 8 is increased in PDR, and the increased Angptl 8 can promote proliferation and increase proliferation-related factors.