scholarly journals Prevalence of Cardiovascular Comorbidities in Coronavirus Disease 2019, Severe Acute Respiratory Syndrome, and Middle East Respiratory Syndrome: Pooled Analysis of Published Data

2020 ◽  
Vol 9 (17) ◽  
Author(s):  
Yang Liu ◽  
Shaohui Wu ◽  
Mu Qin ◽  
Weifeng Jiang ◽  
Xu Liu
Keyword(s):  
Diabetes Mellitus ◽  
Middle East ◽  
Severe Acute Respiratory Syndrome ◽  
Cardiac Disease ◽  
Meta Analysis ◽  
Pooled Analysis ◽  
Middle East Respiratory Syndrome ◽  
Cochrane Library ◽  
Published Data ◽  
Cardiovascular Comorbidities

Background Coronavirus disease 2019 (COVID‐19) is spreading widely around the world. We conducted this meta‐analysis to explore the prevalence of cardiovascular comorbidities in COVID‐19, severe acute respiratory syndrome (SARS), and Middle East respiratory syndrome (MERS) cases. Methods and Results Relevant reports updated to April 17, 2020, were searched from PubMed, Embase, Web of Science, and the Cochrane Library with no restriction on language. A random‐effects model was used in this meta‐analysis to obtain pooled proportions of cardiovascular comorbidities in COVID‐19, SARS, and MERS. A total of 22 studies (12 for COVID‐19, 4 for SARS, and 6 for MERS) were included in this analysis, and the average age of patients with COVID‐19, SARS, and MERS was 46.41±1.79, 39.16±2.25, and 52.51±4.64 years, respectively. Proportions of cardiovascular comorbidities in coronavirus diseases were as follows: COVID‐19: proportion of hypertension was 17.1% (95% CI, 13.2%–20.9%), proportion of cardiac disease was 4.5% (95% CI, 3.6%–5.5%) and proportion of diabetes mellitus was 8.5% (95% CI, 5.5%–11.4%); SARS: proportion of hypertension was 4.5% (95% CI, 2.0%–7.0%), proportion of cardiac disease was 2.1% (95% CI, 0.6%–3.7%) and proportion of diabetes mellitus was 3.7% (95% CI, 1.0%–6.4%); MERS: proportion of hypertension was 30.3% (95% CI, 18.3%–42.2%), proportion of cardiac disease was 20.9% (95% CI, 10.7%–31.1%), and proportion of diabetes mellitus was 45.4% (95% CI, 27.3%–63.5%). Conclusions The prevalence of cardiovascular comorbidities varies among different coronavirus‐associated diseases. With the development of time, proportions of cardiovascular comorbidities in COVID‐19 need further attention.

scholarly journals Risk of COVID-19 on Diabetes Mellitus and Hypertension

2020 ◽  
Author(s):  
Abdullahi Aborode ◽  
Ademola Aiyenuro ◽  
Samuel Ogunsola ◽  
Victor Adesewa ◽  
Monsour Zakariyah
Keyword(s):  
Diabetes Mellitus ◽  
Middle East ◽  
Severe Acute Respiratory Syndrome ◽  
Immune Responses ◽  
Current Literature ◽  
Middle East Respiratory Syndrome ◽  
Host Immune Responses ◽  
Viral Interactions ◽  
Patients With Diabetes ◽  
Substantial Morbidity

The pandemic of coronavirus disease (COVID-19), a disease caused by severe acute respiratory syndrome coronavirus 2 (SARSCoV-2), is causing substantial morbidity and mortality. Older age and presence of diabetes mellitus, hypertension and obesity significantly increases the risk for hospitalization and death in COVID-19 patients. In this Perspective, informed by the studies on SARS-CoV-2, Middle East respiratory syndrome (MERS-CoV), and the current literature on SARS-CoV-2, we discuss potential mechanisms by which diabetes modulates the host-viral interactions and host-immune responses. We hope to highlight gaps in knowledge that require further studies pertinent to COVID-19 in patients with diabetes mellitus, hypertension and obesity.

scholarly journals Accuracy of breath test for diabetes mellitus diagnosis: a systematic review and meta-analysis

2021 ◽  
Vol 9 (1) ◽  
pp. e002174
Author(s):  
Wenting Wang ◽  
Wenzhao Zhou ◽  
Sheng Wang ◽  
Jinyu Huang ◽  
Yanna Le ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Diagnostic Accuracy ◽  
Quality Assessment ◽  
Breath Test ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Analytical Techniques ◽  
Pooled Analysis ◽  
Cochrane Library ◽  
Breath Tests

The review aimed to investigate the accuracy of breath tests in the diagnosis of diabetes mellitus, identify exhaled volatile organic compounds with the most evidence as potential biomarkers, and summarize prospects and challenges in diabetic breath tests. Databases including Medline, PubMed, EMBASE, Cochrane Library and Science Citation Index Expanded were searched. Human studies describing diabetic breath analysis with more than 10 subjects as controls and patients were included. Population demographics, breath test conditions, biomarkers, analytical techniques and diagnostic accuracy were extracted. Quality assessment was performed with the Standards for Reporting Diagnostic Accuracy and a modified QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2). Forty-four research with 2699 patients with diabetes were included for qualitative data analysis and 14 eligible studies were used for meta-analysis. Pooled analysis of type 2 diabetes breath test exhibited sensitivity of 91.8% (95% CI 83.6% to 96.1%), specificity of 92.1% (95% CI 88.4% to 94.7%) and area under the curve (AUC) of 0.96 (95% CI 0.94 to 0.97). Isotopic carbon dioxide (CO2) showed the best diagnostic accuracy with pooled sensitivity of 0.949 (95% CI 0.870 to 0.981), specificity of 0.946 (95% CI 0.891 to 0.975) and AUC of 0.98 (95% CI 0.97 to 0.99). As the most widely reported biomarker, acetone showed moderate diagnostic accuracy with pooled sensitivity of 0.638 (95% CI 0.511 to 0.748), specificity of 0.801 (95% CI 0.691 to 0.878) and AUC of 0.79 (95% CI 0.75 to 0.82). Our results indicate that breath test is a promising approach with acceptable diagnostic accuracy for diabetes mellitus and isotopic CO2 is the optimal breath biomarker. Even so, further validation and standardization in subject control, breath sampling and analysis are still required.

scholarly journals COVID-19 pandemic, coronaviruses, and diabetes mellitus

2020 ◽  
Vol 318 (5) ◽  
pp. E736-E741 ◽  
Author(s):  
Ranganath Muniyappa ◽  
Sriram Gubbi
Keyword(s):  
Diabetes Mellitus ◽  
Middle East ◽  
Severe Acute Respiratory Syndrome ◽  
Immune Responses ◽  
Current Literature ◽  
Middle East Respiratory Syndrome ◽  
Host Immune Responses ◽  
Viral Interactions ◽  
Patients With Diabetes ◽  
Substantial Morbidity

The pandemic of coronavirus disease (COVID-19), a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is causing substantial morbidity and mortality. Older age and presence of diabetes mellitus, hypertension, and obesity significantly increases the risk for hospitalization and death in COVID-19 patients. In this Perspective, informed by the studies on SARS-CoV-2, Middle East respiratory syndrome (MERS-CoV), and the current literature on SARS-CoV-2, we discuss potential mechanisms by which diabetes modulates the host-viral interactions and host-immune responses. We hope to highlight gaps in knowledge that require further studies pertinent to COVID-19 in patients with diabetes.

scholarly journals Prevalence of diabetes in the 2009 influenza A (H1N1) and the Middle East respiratory syndrome coronavirus: a systematic review and meta-analysis

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Alaa Badawi ◽  
Sueng Gwan Ryoo
Keyword(s):  
Systematic Review ◽  
Middle East ◽  
Influenza A ◽  
Meta Analysis ◽  
Middle East Respiratory Syndrome ◽  
Global Public Health ◽  
Epidemiologic Evidence ◽  
Severe Acute Respiratory Infection ◽  
Influenza A H1n1 ◽  
Prevalence Of Obesity

Over the past two decades a number of severe acute respiratory infection outbreaks such as the 2009 influenza A (H1N1) and the Middle East respiratory syndrome coronavirus (MERS-CoV) have emerged and presented a considerable global public health threat. Epidemiologic evidence suggests that diabetic subjects are more susceptible to these conditions. However, the prevalence of diabetes in H1N1 and MERS-CoV has not been systematically described. The aim of this study is to conduct a systematic review and meta-analysis of published reports documenting the prevalence of diabetes in H1N1 and MERS-CoV and compare its frequency in the two viral conditions. Meta-analysis for the proportions of subjects with diabetes was carried out in 29 studies for H1N1 (n=92,948) and 9 for MERS-CoV (n=308). Average age of H1N1 patients (36.2±6.0 years) was significantly younger than that of subjects with MERS-CoV (54.3±7.4 years, P<0.05). Compared to MERS-CoV patients, subjects with H1N1 exhibited 3-fold lower frequency of cardiovascular diseases and 2- and 4-fold higher prevalence of obesity and immunosuppression, respectively. The overall prevalence of diabetes in H1N1 was 14.6% (95% CI: 12.3- 17.0%; P<0.001), a 3.6-fold lower than in MERS-CoV (54.4%; 95% CI: 29.4-79.5; P<0.001). The prevalence of diabetes among H1N1 cases from Asia and North America was ~two-fold higher than those from South America and Europe. The prevalence of diabetes in MERS-CoV cases is higher than in H1N1. Regional comparisons suggest that an etiologic role of diabetes in MERS-CoV may exist distinctive from that in H1N1.

scholarly journals Pooled analysis of T2 Candida for rapid diagnosis of candidiasis

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Dong-Lan Tang ◽  
Xiao Chen ◽  
Chang-Guo Zhu ◽  
Zhong-wei Li ◽  
Yong Xia ◽  
...  
Keyword(s):  
Likelihood Ratio ◽  
Web Of Science ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Pooled Analysis ◽  
Current Evidence ◽  
Cochrane Library ◽  
Research Subjects

Abstract Background The present meta-analysis examined the diagnostic accuracy of T2 Candida for candidiasis. Methods The literature databases, such as PubMed, Embase, DVIO, Cochrane library, Web of Science, and CNKI, were searched on T2 Candida detection. Results A total of 8 articles, comprising of 2717 research subjects, were included in the study. The pooled sensitivity and specificity were 0.91 (95% confidence interval (CI): 0.88–0.94) and 0.94 95% CI: 0.93–0.95), respectively. The pooled positive likelihood ratio and negative likelihood ratio was 10.16 (95% CI: 2.75–37.50) and 0.08 (95% CI: 0.02–0.35), respectively. The combined diagnostic odds ratio is 133.65 95% CI: 17.21–1037.73), and the AUC of SROC is 0.9702 [(SE = 0.0235), Q* = 0.9201(SE = 0.0381)]. Conclusions The current evidence supported that T2 Candida has high accuracy and sensitivity and is of major clinical significance in the diagnosis of Candida infection.

scholarly journals The association between insulin therapy and depression in patients with type 2 diabetes mellitus: a meta-analysis

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e020062 ◽  
Author(s):  
Xiaosu Bai ◽  
Zhiming Liu ◽  
Zhisen Li ◽  
Dewen Yan
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Insulin Therapy ◽  
Depressive Disorders ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Cochrane Library ◽  
Increased Risk

ObjectivesSeveral patients with type 2 diabetes mellitus (T2DM) have depressive disorders. Whether insulin treatment was associated with increased risk of depression remains controversial. We performed a meta-analysis to evaluate the association of insulin therapy and depression.DesignA meta-analysis.MethodsWe conducted a systematic search of PubMed, PsycINFO, Embase and the Cochrane Library from their inception to April 2016. Epidemiological studies comparing the prevalence of depression between insulin users and non-insulin users were included. A random-effects model was used for meta-analysis. The adjusted and crude data were analysed.ResultsTwenty-eight studies were included. Of these, 12 studies presented with adjusted ORs. Insulin therapy was significantly associated with increased risk of depression (OR=1.41, 95% CI 1.13 to 1.76, p=0.003). Twenty-four studies provided crude data. Insulin therapy was also associated with an odds for developing depression (OR=1.59, 95% CI 1.41 to 1.80, p<0.001). When comparing insulin therapy with oral antidiabetic drugs, significant association was observed for adjusted (OR=1.42, 95% CI 1.08 to 1.86, p=0.008) and crude (OR=1.61, 95% CI 1.35 to 1.93, p<0.001) data.ConclusionsOur meta-analysis confirmed that patients on insulin therapy were significantly associated with the risk of depressive symptoms.

scholarly journals Does the novel coronavirus 2019 like heart more than the other family members of coronaviruses?

2020 ◽  
Vol 12 (2) ◽  
pp. 156-157
Author(s):  
Mohammad Mostafa Ansari Ramandi ◽  
Mohammadreza Baay ◽  
Nasim Naderi
Keyword(s):  
Middle East ◽  
Severe Acute Respiratory Syndrome ◽  
Family Members ◽  
Middle East Respiratory Syndrome ◽  
The Other ◽  
The Novel ◽  
The World ◽  
Future Challenges ◽  
Novel Coronavirus ◽  
Coronavirus Infections

The disaster due to the novel coronavirus disease 2019 (COVID-19) around the world has made investigators enthusiastic about working on different aspects of COVID-19. However, although the pandemic of COVID-19 has not yet ended, it seems that COVID-19 compared to the other coronavirus infections (the Middle East Respiratory Syndrome [MERS] and Severe Acute Respiratory Syndrome [SARS]) is more likely to target the heart. Comparing the previous presentations of the coronavirus family and the recent cardiovascular manifestations of COVID-19 can also help in predicting possible future challenges and taking measures to tackle these issues.

scholarly journals Penanggulangan Virus Covid – 19 melalui Penyaluran Handsanitizer dan Sabun Cuci Tangan Alami serta Penyemprotan Disenfektan di desa Ngale, Kecamatan Pilangkenceng, Kabupaten Madiun

Batoboh ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 10
Author(s):  
Reza Kusuma Setyansah
Keyword(s):  
Middle East ◽  
Severe Acute Respiratory Syndrome ◽  
Middle East Respiratory Syndrome ◽  
Sars Coronavirus

Coronavirus merupakan keluarga besar virus yang menyebabkan penyakit pada manusia, biasanya menyebabkan penyakit infeksi saluran pernapasan, mulai flu biasa hingga penyakit yang serius seperti Middle East Respiratory Syndrome (MERS) dan Sindrom Pernafasan Akut Berat/ Severe Acute Respiratory Syndrome (SARS). Coronavirus jenis baru yang ditemukan pada manusia sejak kejadian luar biasa muncul di Wuhan Cina, pada Desember 2019, kemudian diberi nama Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV2), dan menyebabkan penyakit Coronavirus Disease-2019 (COVID-19). Salah satu cara gampang melakukan pencegahan terhadap penyebaran virus ini adalah dengan menggunakan Handsanitizer alami. Menurut Organisasi Kesehatan Dunia (WHO), Handsanitizer alami harus mengandung setidaknya 60% alkohol untuk bekerja secara efektif. Selain handsanitizer, dengan melalukan metode penyemprotan disenfektan menggunakan cairan disenfektan. Disenfektan merupakan bahan kimia yang berguna untuk mencegah pertumbuhan bakteri ataupun jasad renik pada permukaan benda mati. Pelaksanaan pengabdian kepada masyarakat mengadakan penyaluran handsanitizer dan sabun cuci tangan alami serta penyemprotan disenfektan di desa Ngale sebagai upaya pencegahan Covid-19. Metode dalam pelaksanaan kegiatan ini yaitu wawancara dan diskusi bersama kepala desa Ngale. Kegiatan ini diharapkan mampu menumbuhkan kesadaran pada masyarakat akan pentingnya menjaga kebersihan, salah satunya menjaga kebersihan tangan serta dapat memutus mata rantai penyebaran Covid-19 di desa Ngale Kec Pilangkenceng Kab Madiun.

scholarly journals COVID-19: Need of the hour to revisit asymptomatic prevalence of coronavirus pandemic

2020 ◽  
Vol 1 (1) ◽  
pp. 1-4
Author(s):  
Richard Avoi ◽  
Syed Sharizman Syed Abdul Rahim ◽  
Mohammad Saffree Jeffree ◽  
Visweswara Rao Pasupuleti
Keyword(s):  
Middle East ◽  
Severe Acute Respiratory Syndrome ◽  
Respiratory Tract ◽  
Middle East Respiratory Syndrome ◽  
Control Measures ◽  
Case Detection ◽  
Viral Loads ◽  
Early Stages ◽  
Exponential Increase ◽  
Asymptomatic Patients

  Since the Coronavirus disease 2019 (COVID-19) pandemic unfolded in China (Huang et al., 2020) back in December 2019, thus far, more than five million people were infected with the virus and 333,401 death were recorded worldwide (WHO, 2020b). The exponential increase in number shows that COVID-19 spreads faster compared to Severe Acute Respiratory Syndrome (SARS) or Middle East Respiratory Syndrome (MERS). A study (Zou et al., 2020) has shown that high viral loads of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are detected in symptomatic patients soon after the onset of symptoms, wherein the load content is higher in their nose than in their throat. Furthermore, the same study has revealed similar viral loads between symptomatic and asymptomatic patients. Therefore, these findings may suggest the possibility of COVID-19 transmission earlier before the onset of symptoms itself. In the early stages of the pandemic, the control measures carried out have focused on screening of symptomatic person; at the time, the whole world thought that the spread of SARS-Cov-2 would only occur through symptomatic person-to-person transmission. In comparison, transmission in SARS would happen after the onset of illness, whereby the viral loads in the respiratory tract peaked around ten days after the development of symptoms by patients (Peiris et al., 2003). However, case detection for SARS (i.e. screening of symptomatic persons) will be grossly inadequate for the current COVID-19 pandemic, thus requiring different strategies to detect those infected with SARS-CoV-2 before they develop the symptoms.

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