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Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: a multi-centre retrospective study.
Wang, S, Ma, P, Zhang, S, Song, S, Wang, Z, Ma, Y, Xu, J, Wu, F, Duan, L, Yin, Z, et al
Diabetologia. 2020;63(10):2102-2111
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Hyperglycaemia was a risk factor for mortality from severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) and is an independent risk factor for lower respiratory tract infection and poor prognosis. The aim of this retrospective study of 605 patients without previously diagnosed diabetes was to examine the association between fasting blood glucose (FBG) on admission and the 28-day in hospital mortality of COVID-19 patients. Patients with a FBG level of 7.0mmol/l or over had more than double the risk of dying than those with a level of 6.0mmol/l or less. Other risk factors for mortality included age, being male, and severity of pneumonia at admission. Compared with patients whose FBG was 6.0mmol/l or lower at admission, patients with FBG of 7.0 mmol/l and above had a 3.99 times higher risk of in-hospital complications, whilst those with FBG of 6.1–6.9 mmol/l had a 2.61 times higher risk of complications. The authors conclude that glycaemic testing and control are important to all COVID-19 patients even where they have no pre-existing diabetes.
Abstract
AIMS/HYPOTHESIS Hyperglycaemia is associated with an elevated risk of mortality in community-acquired pneumonia, stroke, acute myocardial infarction, trauma and surgery, among other conditions. In this study, we examined the relationship between fasting blood glucose (FBG) and 28-day mortality in coronavirus disease 2019 (COVID-19) patients not previously diagnosed as having diabetes. METHODS We conducted a retrospective study involving all consecutive COVID-19 patients with a definitive 28-day outcome and FBG measurement at admission from 24 January 2020 to 10 February 2020 in two hospitals based in Wuhan, China. Demographic and clinical data, 28-day outcomes, in-hospital complications and CRB-65 scores of COVID-19 patients in the two hospitals were analysed. CRB-65 is an effective measure for assessing the severity of pneumonia and is based on four indicators, i.e. confusion, respiratory rate (>30/min), systolic blood pressure (≤90 mmHg) or diastolic blood pressure (≤60 mmHg), and age (≥65 years). RESULTS Six hundred and five COVID-19 patients were enrolled, including 114 who died in hospital. Multivariable Cox regression analysis showed that age (HR 1.02 [95% CI 1.00, 1.04]), male sex (HR 1.75 [95% CI 1.17, 2.60]), CRB-65 score 1-2 (HR 2.68 [95% CI 1.56, 4.59]), CRB-65 score 3-4 (HR 5.25 [95% CI 2.05, 13.43]) and FBG ≥7.0 mmol/l (HR 2.30 [95% CI 1.49, 3.55]) were independent predictors for 28-day mortality. The OR for 28-day in-hospital complications in those with FBG ≥7.0 mmol/l and 6.1-6.9 mmol/l vs <6.1 mmol/l was 3.99 (95% CI 2.71, 5.88) or 2.61 (95% CI 1.64, 4.41), respectively. CONCLUSIONS/INTERPRETATION FBG ≥7.0 mmol/l at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes. Glycaemic testing and control are important to all COVID-19 patients even where they have no pre-existing diabetes, as most COVID-19 patients are prone to glucose metabolic disorders. Graphical abstract.
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Possible long-term endocrine-metabolic complications in COVID-19: lesson from the SARS model.
Mongioì, LM, Barbagallo, F, Condorelli, RA, Cannarella, R, Aversa, A, La Vignera, S, Calogero, AE
Endocrine. 2020;68(3):467-470
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Coronavirus disease 2019 (Covid-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Little is known about how it affects the endocrine system and it is likely that some patients who have recovered may suffer long-term consequences. The severe acute respiratory syndrome coronavirus (SARS-CoV) that caused the SARS outbreak in 2003 has many similarities. This editorial looks at the possible effects on the endocrine system of SARS-CoV-2 by looking at the long-term effects seen in SARS. In the case of SARS-CoV, it was thought that the virus could directly damage pancreatic cells leading to type 2 diabetes. It is hypothesized that Covid-19 patients could develop this condition by the same mechanism. Although no study on SARS reported the link between obesity and higher mortality rate, there is evidence that obese Covid-19 patients have worse clinical outcomes. There is no data yet for Covid-19, but adrenal insufficiency and impaired thyroid function were shown in some cases of SARS. To identify and treat any possible long-term effects of Covid-19, endocrinologists should monitor hormone levels and metabolic functions.
Abstract
The outbreak of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is centralizing the interest of the scientific world. In the next months, long-term consequences on the endocrine system may arise following COVID-19. In this article, we hypothesized the effects of SARS-CoV-2 taking into account what learned from the severe acute respiratory syndrome coronavirus (SARS-CoV) that caused SARS in 2003.
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Comorbid Chronic Diseases are Strongly Correlated with Disease Severity among COVID-19 Patients: A Systematic Review and Meta-Analysis.
Liu, H, Chen, S, Liu, M, Nie, H, Lu, H
Aging and disease. 2020;11(3):668-678
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Symptomatic COVID-19 infection is accompanied by a cluster of flu-like symptoms and life-threatening severe illnesses including acute respiratory distress syndrome, acute kidney injury, myocarditis, and organ failure. The aim of this study was to provide a systematic evaluation and detailed estimate on the prevalence and effects of pre-existing chronic conditions in COVID-19 patients. This study is a systemic review and meta-analysis of 24 studies (with a total of 10948 COVID-19 patients) for qualitative and quantitative synthesis. Results show that: - male participants were more susceptible to COVID-19. - both sexes exhibited clinical presentations similar in symptomatology. - diabetes and coronary artery disease/cardiovascular disease were prevalent in 10.0% and 8.0% of the patients, respectively. - pre-existing chronic diseases were strongly correlated with the increased disease severity and increased admittance to ICU. Authors conclude that patients with pre-existing chronic diseases may have a higher risk for developing severe COVID-19 and should be given close attention.
Abstract
Coronavirus disease 2019 (COVID-19) has resulted in considerable morbidity and mortality worldwide since December 2019. In order to explore the effects of comorbid chronic diseases on clinical outcomes of COVID-19, a search was conducted in PubMed, Ovid MEDLINE, EMBASE, CDC, and NIH databases to April 25, 2020. A total of 24 peer-reviewed articles, including 10948 COVID-19 cases were selected. We found diabetes was present in 10.0%, coronary artery disease/cardiovascular disease (CAD/CVD) was in 8.0%, and hypertension was in 20.0%, which were much higher than that of chronic pulmonary disease (3.0%). Specifically, preexisting chronic conditions are strongly correlated with disease severity [Odds ratio (OR) 3.50, 95% CI 1.78 to 6.90], and being admitted to intensive care unit (ICU) (OR 3.36, 95% CI 1.67 to 6.76); in addition, compared to COVID-19 patients with no preexisting chronic diseases, COVID-19 patients who present with either diabetes, hypertension, CAD/CVD, or chronic pulmonary disease have a higher risk of developing severe disease, with an OR of 2.61 (95% CI 1.93 to 3.52), 2.84 (95% CI 2.22 to 3.63), 4.18 (95% CI 2.87 to 6.09) and 3.83 (95% CI 2.15 to 6.80), respectively. Surprisingly, we found no correlation between chronic conditions and increased risk of mortality (OR 2.09, 95% CI 0.26 to16.67). Taken together, cardio-metabolic diseases, such as diabetes, hypertension and CAD/CVD were more common than chronic pulmonary disease in COVID-19 patients, however, each comorbid disease was correlated with increased disease severity. After active treatment, increased risk of mortality in patients with preexisting chronic diseases may reduce.
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Potential causal factors of CFS/ME: a concise and systematic scoping review of factors researched.
Muller, AE, Tveito, K, Bakken, IJ, Flottorp, SA, Mjaaland, S, Larun, L
Journal of translational medicine. 2020;18(1):484
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Chronic fatigue syndrome /myalgic encephalomyelitis (CFS/ME) is complex and probably triggered by several interconnected factors and the identification of these is essential to develop better treatments and preventative measures. This systematic scoping review of 1161 studies aimed to discuss potential causal factors of CFS/ME. The results showed that there were several main causal factors that were investigated in the literature and no single factor dominated the research; immunological, psychological/psychosocial/socioeconomic, infectious, and neuroendocrinal/hormonal/metabolic. Studies varied in their design and methods. Interestingly research in this area was at its highest before 1995 and from 2015-2019, studies have markedly decreased. It was concluded that large variations in methods and design of studies of causal factor studies, is problematic. More large, well designed studies are required especially as research has declined recently and considering post covid-19 fatigue. This study could be used by healthcare professionals to understand where there are gaps in the research to design more robust studies in the future.
Abstract
BACKGROUND Chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) is understood as a complex condition, likely triggered and sustained by an interplay of biological, psychological, and social factors. Little oversight exists of the field of causal research. This systematic scoping review explores potential causal factors of CFS/ME as researched by primary studies. METHODS We searched eight databases for primary studies that examined potential causal factors of CFS/ME. Based on title/abstract review, two researchers independently sorted each study's factors into nine main categories and 71 subordinate categories, using a system developed with input given during a 2018 ME conference, specialists and representatives from a ME patient advocacy group, and using BMJ Best Practice's description of CFS/ME etiology. We also extracted data related to study design, size, diagnostic criteria and comparison groups. RESULTS We included 1161 primary studies published between January 1979 and June 2019. Based on title/abstract analysis, no single causal factor dominated in these studies, and studies reported a mean of 2.73 factors. The four most common factors were: immunological (297 studies), psychological (243), infections (198), and neuroendocrinal (198). The most frequent study designs were case-control studies (894 studies) comparing CFS/ME patients with healthy participants. More than half of the studies (that reported study size in the title/abstract) included 100 or fewer participants. CONCLUSION The field of causal hypotheses of CFS/ME is diverse, and we found that the studies examined all the main categories of possible factors that we had defined a priori. Most studies were not designed to adequately explore causality, rather to establish hypotheses. We need larger studies with stronger study designs to gain better knowledge of causal factors of CFS/ME.