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Author

Jia Yu

Bio: Jia Yu is an academic researcher. The author has contributed to research in topics: Pneumonia. The author has an hindex of 1, co-authored 1 publications receiving 8 citations.
Topics: Pneumonia

Papers
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Posted Content
TL;DR: This poster presents a case study on how a pneumonia caused by SARS-CoV-2 which was later named as COVID-19 emerged and many people lost their lives in Wuhan, China in December 2019.
Abstract: Background: Since December 2019, a pneumonia caused by SARS-CoV-2 which was later named as COVID-19 emerged and many people lost their lives in Wuhan, China D

9 citations


Cited by
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Journal ArticleDOI
TL;DR: To evaluate the association between different degrees of hyperglycaemia and the risk of all‐cause mortality among hospitalized patients with COVID‐19, a large number of patients were randomly assigned to receive either a high or a low dose of COVID.
Abstract: Aim To evaluate the association between different degrees of hyperglycaemia and the risk of all-cause mortality among hospitalized patients with COVID-19. Materials and methods In a retrospective study conducted from 22 January to 17 March 2020, 453 patients were admitted to Union Hospital in Wuhan, China, with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection. Patients were classified into four categories: normal glucose, hyperglycaemia (fasting glucose 5.6-6.9 mmol/L and/or HbA1c 5.7%-6.4%), newly diagnosed diabetes (fasting glucose ≥7 mmol/L and/or HbA1c ≥6.5%) and known diabetes. The major outcomes included in-hospital mortality, intensive care unit (ICU) admission and invasive mechanical ventilation (IMV). Results Patients with newly diagnosed diabetes constituted the highest percentage to be admitted to the ICU (11.7%) and require IMV (11.7%), followed by patients with known diabetes (4.1%; 9.2%) and patients with hyperglycaemia (6.2%; 4.7%), compared with patients with normal glucose (1.5%; 2.3%), respectively. The multivariable-adjusted hazard ratios of mortality among COVID-19 patients with normal glucose, hyperglycaemia, newly diagnosed diabetes and known diabetes were 1.00, 3.29 (95% confidence interval [CI] 0.65-16.6), 9.42 (95% CI 2.18-40.7) and 4.63 (95% CI 1.02-21.0), respectively. Conclusion We showed that COVID-19 patients with newly diagnosed diabetes had the highest risk of all-cause mortality compared with COVID-19 patients with known diabetes, hyperglycaemia and normal glucose. Patients with COVID-19 need to be kept under surveillance for blood glucose screening.

179 citations

Journal ArticleDOI
TL;DR: Infection with COVID-19 is associated with substantial mortality mainly in older patients with comorbidities, such as Diabetes Mellitus, Hypertension, Kidney disorders and Heart diseases, which can increase the risk of COVID19 mortality.
Abstract: Background The current study aimed to identify effective factors on the death among COVID-19 patients Methods All articles published in the period Jan 1, 2020, to Mar 23, 2020, written in English and reporting factors associated with COVID-19 mortality were reviewed The random-effects model with 95% CI was used to calculate the pooled Odds Ratio (OR) and Hazard Ratio (HR) Data were analyzed using Stata ver110 Results The older age OR: 121(110-133) and male gender OR: 141(104-189) were most prone to death due to COVID-19 The Comorbidity with some chronic diseases such as Diabetes type2 OR: 242(106-552), Hypertension OR: 254(121-532), Kidney disorder OR: 261(122-560), Respiratory disorder 309 (139-688) and Heart diseases OR: 437 (113-1690) can increase the risk of COVID19 mortality Conclusion Infection with COVID-19 is associated with substantial mortality mainly in older patients with comorbidities We found the significant effect of age, gender and comorbidities such as Diabetes Mellitus, Hypertension, Kidney disorders and Heart diseases on the risk of death in patients with COVID-19 The factors associated with mortality found in this research can help to recognize patients with COVID-19 who are at higher risk of a poor prognosis Monitoring these factors can serve to give early warning for the appropriate interventions

62 citations

Journal ArticleDOI
TL;DR: Drugs used in the treatment of hypertension and diabetes influence the risk of development of COVID‐19, but, not its severity, according to a cohort of cases and controls from Zhejiang, China.
Abstract: This study aimed to investigate whether specific medications used in the treatment chronic diseases affected either the development and/ or severity of coronavirus disease 2019 (COVID-19) in a cohort of 610 COVID-19 cases and 48,667 population-based controls from Zhejiang, China. Using a cohort of 578 COVID-19 cases and 48,667 population-based controls from Zhejiang, China, we tested the role of usage of cardiovascular, antidiabetic, and other medications on risk and severity of COVID-19. Analyses were adjusted for age, sex, and body mass index and for presence of relevant comorbidities. Individuals with hypertension taking calcium channel blockers had significantly increased risk (odds ratio (OR) = 1.73, 95% confidence interval (CI) 1.2-2.3) of manifesting symptoms of COVID-19, whereas those taking angiotensin receptor blockers and diuretics had significantly lower disease risk (OR = 0.22, 95% CI 0.15-0.30 and OR = 0.30, 95% CI 0.19-0.58, respectively). Among those with type 2 diabetes, dipeptidyl peptidase-4 inhibitors (OR = 6.02, 95% CI 2.3-15.5) and insulin (OR = 2.71, 95% CI 1.6-5.5) were more and glucosidase inhibitors were less prevalent (OR = 0.11, 95% CI 0.1-0.3) among with patients with COVID-19. Drugs used in the treatment of hypertension and diabetes influence the risk of development of COVID-19, but, not its severity.

49 citations

Posted ContentDOI
29 Apr 2020-medRxiv
TL;DR: No evidence to alter ARBs or ACEIs therapy in the context of the coronavirus disease 2019 pandemic is found, and patients on corticosteroids with CO VID-19 are at higher risk of developing a severe form of COVID-19 and therefore should be monitored closely.
Abstract: Background. Medical editorials have suggested that angiotensin converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) should not be given to people with arterial hypertension during the coronavirus disease 2019 (COVID-19) pandemic because of a potential increased risk of worse clinical outcomes and that calcium channel blockers (CCBs) should be used as an alternative. Methods Using a cohort of 610 COVID-19 cases and 48,667 population-based controls from Zheijang, China we have tested the role of usage of ACEIs, ARBs, CCBs and other medications on risk and severity of COVID 19. Analyses were adjusted for age, sex and BMI and for presence of relevant comorbidities. Findings: Higher BMI, diabetes and cardio/ cerebrovascular disease as independent risk factors for the development of COVID-19. Individuals with hypertension taking CCBs had significantly increased risk [odds ratio (OR)= 1.67 (95% CI 1.2-2.9)) of manifesting symptoms of COVID-19 whereas those taking ARBs and diuretics had significantly lower disease risk (OR=0.24; 95%CI 0.17-0.34 and OR=0.32; 95%CI 0.19-0.57 respectively). Other antihypertensive drugs were not associated with increased risk of severe or critical form of the infection. Use of glucocorticoids was significantly associated with a severe/critical form of COVID-19 (OR= 7.56; 95%CI 1.17-48.93). Interpretation: we found no evidence to alter ARBs or ACEIs therapy in the context of the pandemic. Patients on corticosteroids with COVID-19 are at higher risk of developing a severe form of COVID-19and therefore should be monitored closely.

26 citations

Journal ArticleDOI
10 Sep 2021-PLOS ONE
TL;DR: Those patients that had a history of hypertension and diabetes had a higher probability of non-survival in contrast to those who did not have ahistory of diabetes and hypertension.
Abstract: Background Epidemiological features characterization of COVID-19 is highly important for developing and implementing effective control measures. In Saudi Arabia mortality rate varies between 0.6% to 1.26%. The purpose of the study was to investigate whether demographic characteristics (age and gender) and non-communicable diseases (Hypertension and Diabetes mellitus) have a significant association with mortality in COVID-19 patients. Methods Prior to data collection, an expedite approval was obtained from Institutional Review Board (IRB Log No: RC. RC20.09.10) in Al Habib Research Center at Dr. Sulaiman Al-Habib Medical Group, Riyadh, Saudi Arabia. This is a retrospective design where we used descriptive and inferential analysis to analyse the data. Binary logistic regression was done to study the association between comorbidities and mortality of COVID-19. Results 43 (86%) of the male patients were non-survivors while 7 (14%) of the female patients were survivors. The odds of non-survivors among hypertensive patients are 3.56 times higher than those who are not having a history of Hypertension (HTN). The odds of non-survivors among diabetic patients are 5.17 times higher than those who are not having a history of Diabetes mellitus (DM). The odds of non-survivors are 2.77 times higher among those who have a history of HTN and DM as compared to those who did not have a history of HTN and DM. Conclusions Those patients that had a history of Hypertension and Diabetes had a higher probability of non-survival in contrast to those who did not have a history of Diabetes and hypertension. Further studies are required to study the association of comorbidities with COVID-19 and mortality.

9 citations