ANALYSIS OF CLINICAL AND FUNCTIONAL INDICES OF CARDIOVASCULAR SYSTEM IN POST-COVID-19 EMERGENCY WORKERS OF THE CHORNOBYL ACCIDENT. / ANALIZ KLINIKO/FUNKTsIONAL'NYKh POKAZNYKIV SERTsEVO-SUDYNNOÏ SYSTEMY V UChASNYKIV LIKVIDATsIÏ NASLIDKIV ChORNOBYL'S'KOÏ AVARIÏ PISLIa PERENESENOGO COVID-19.

OBJECTIVE: to determine which changes of cardiovascular system clinical, and structural, and functional state in emergency workers (EW) of the accident at the Chornobyl nuclear power plant (CNNP) can be associated with COVID-19 they suffered from and not with the natural progression of coronary heart disease (CHD). MATERIALS AND METHODS: The study included 16 male EW who fell ill with mild and medium-severe COVID-19 (EWC group) in 2020-2021, which was confirmed by a PCR test (polymerase chain reaction). All these patients were observed in the NRCRM cardiology department before infection with the coronavirus. The comparison group consisted of 32 EW who did not suffer from COVID-19 and their age and examination dates corresponded to EWC. General clinical, laboratory, statistical methods and Doppler echocardiography were used for patients examination. RESULTS: In the post-covid period, EW-C observed a worsening of CHD clinical course, which consisted in an increase in the number of patients with severe functional class angina pectoris, with ventricular and supraventricular extrasystoles, as well as with more severe heart failure (HF). Since similar changes in the state of the cardiovascular system were found among EW who did not suffer from COVID-19, they can be attributed to the natural progression of CHD. In the EW-C group, there was an increase in the number of patients with atrial fibrillation (AF) by 4 times (up 37.5 %), while in the comparison group EW only by 1.1 times (up 3.1 %). The progression of CHD and HF in the examined patients was accompanied by an increase in the end-diastolic and end-systolic volumes of the left ventricle and the mass of the myocardium, the severity of which was not significantly different in patients with and without COVID-19. The number of post-covid patients with reduced ejection fraction (EF) during examination after COVID-19 increased by 31.3 %, and in the group of EW, which were examined at the same time, by 6.32 %. CONCLUSIONS: A significant increase in the number of patients with AF and a reduced EF in the EW-C compared with the EW can be attributed to the results of the SARS-CoV-2 virus influence on cardiovascular system.

Is replacing red meat with other protein sources associated with lower risks of coronary heart disease and all-cause mortality? A meta-analysis of prospective studies.

CONTEXT: A high amount of red meat consumption has been associated with higher risks of coronary heart disease (CHD) and all-cause mortality in a single food-exposure model. However, this model may overlook the potentially differential influence of red meat on these outcomes depending on the foods replaced by red meat. OBJECTIVE: A PRISMA-compliant meta-analysis of prospective observational studies was performed to quantify the risks of CHD and all-cause mortality associated with the replacement of total, unprocessed, or processed red meat with fish/seafood, poultry, dairy, eggs, nuts, and legumes. DATA SOURCES: The PubMed and Web of Science databases were searched to identify relevant articles published in any language from database inception to October 30, 2021. DATA EXTRACTION: The prospective observational studies were considered relevant if they reported relative risks (RRs) and 95%CIs for the associations of interest. DATA ANALYSIS: Thirteen articles were included. A random-effects model was used to estimate the summary RRs and 95%CIs for the associations of interest. Replacing total red meat with poultry (RR, 0.88, 95%CI, 0.82-0.96; I2 = 0%), dairy (RR, 0.90, 95%CI, 0.88-0.92; I2 = 0%), eggs (RR, 0.86, 95%CI, 0.79-0.94; I2 = 7.1%), nuts (RR, 0.84, 95%CI, 0.74-0.95; I2 = 66.8%), or legumes (RR, 0.84, 95%CI, 0.74-0.95; I2 = 7.3%) was associated with a lower risk of CHD, whereas substituting fish/seafood (RR, 0.91, 95%CI, 0.79-1.04; I2 = 69.5%) for total red meat was not associated with the risk of CHD. The replacement of total red meat with fish/seafood (RR, 0.92, 95%CI, 0.89-0.96; I2 = 86.9%), poultry (RR, 0.92, 95%CI, 0.90-0.95; I2 = 61.6%), eggs (RR, 0.91, 95%CI, 0.87-0.95; I2 = 33.8%), or nuts (RR, 0.92, 95%CI, 0.87-0.97; I2 = 81.9%) was associated with a lower risk of all-cause mortality, whereas the substitution of dairy (RR, 0.97, 95%CI, 0.93-1.01; I2 = 33.9%) or legumes (RR, 0.97, 95%CI, 0.93-1.01; I2 = 53.5%) for total red meat was not associated with the risk of all-cause mortality. Lower risks of CHD and all-cause mortality were more consistently observed for processed red meat replacements than for unprocessed red meat replacements. The results did not materially change when the analyses of total, processed, and unprocessed red meat were restricted to the studies that used a uniform substitution amount per unit of 1 serving/d. CONCLUSION: Keeping red meat, particularly processed red meat, consumption to a minimum along with increasing healthier alternative protein sources to replace red meat in the diet may contribute to the prevention of CHD and premature death. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration no. CRD42021259446.

Bending the Curve in Cardiovascular Disease Mortality: Bethesda + 40 and Beyond.

More than 40 years after the 1978 Bethesda Conference on the Declining Mortality from Coronary Heart Disease provided the scientific community with a blueprint for systematic analysis to understand declining rates of coronary heart disease, there are indications the decline has ended or even reversed despite advances in our knowledge about the condition and treatment. Recent data show a more complex situation, with mortality rates for overall cardiovascular disease, including coronary heart disease and stroke, decelerating, whereas those for heart failure are increasing. To mark the 40th anniversary of the Bethesda Conference, the National Heart, Lung, and Blood Institute and the American Heart Association cosponsored the "Bending the Curve in Cardiovascular Disease Mortality: Bethesda + 40" symposium. The objective was to examine the immediate and long-term outcomes of the 1978 conference and understand the current environment. Symposium themes included trends and future projections in cardiovascular disease (in the United States and internationally), the evolving obesity and diabetes epidemics, and harnessing emerging and innovative opportunities to preserve and promote cardiovascular health and prevent cardiovascular disease. In addition, participant-led discussion explored the challenges and barriers in promoting cardiovascular health across the lifespan and established a potential framework for observational research and interventions that would begin in early childhood (or ideally in utero). This report summarizes the relevant research, policy, and practice opportunities discussed at the symposium.

Early Prediction of Disease Progression in Patients with Severe COVID-19 Using C-Reactive Protein to Albumin Ratio.

BACKGROUND: Early identification of patients with severe coronavirus disease (COVID-19) at an increased risk of progression may promote more individualized treatment schemes and optimize the use of medical resources. This study is aimed at investigating the utility of the C-reactive protein to albumin (CRP/Alb) ratio for early risk stratification of patients. METHODS: We retrospectively reviewed 557 patients with COVID-19 with confirmed outcomes (discharged or deceased) admitted to the West Court of Union Hospital, Wuhan, China, between January 29, 2020 and April 8, 2020. Patients with severe COVID-19 (n = 465) were divided into stable (n = 409) and progressive (n = 56) groups according to whether they progressed to critical illness or death during hospitalization. To predict disease progression, the CRP/Alb ratio was evaluated on admission. RESULTS: The levels of new biomarkers, including neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, CRP/Alb ratio, and systemic immune-inflammation index, were higher in patients with progressive disease than in those with stable disease. Correlation analysis showed that the CRP/Alb ratio had the strongest positive correlation with the sequential organ failure assessment score and length of hospital stay in survivors. Multivariate logistic regression analysis showed that percutaneous oxygen saturation (SpO2), D-dimer levels, and the CRP/Alb ratio were risk factors for disease progression. To predict clinical progression, the areas under the receiver operating characteristic curves of Alb, CRP, CRP/Alb ratio, SpO2, and D-dimer were 0.769, 0.838, 0.866, 0.107, and 0.748, respectively. Moreover, patients with a high CRP/Alb ratio (≥1.843) had a markedly higher rate of clinical deterioration (log - rank p < 0.001). A higher CRP/Alb ratio (≥1.843) was also closely associated with higher rates of hospital mortality, ICU admission, invasive mechanical ventilation, and a longer hospital stay. CONCLUSION: The CRP/Alb ratio can predict the risk of progression to critical disease or death early, providing a promising prognostic biomarker for risk stratification and clinical management of patients with severe COVID-19.

SARS-CoV-2 infection and cardiovascular or pulmonary complications in ambulatory care: A risk assessment based on routine data.

BACKGROUND: Risk factors of severe COVID-19 have mainly been investigated in the hospital setting. We investigated pre-defined risk factors for testing positive for SARS-CoV-2 infection and cardiovascular or pulmonary complications in the outpatient setting. METHODS: The present cohort study makes use of ambulatory claims data of statutory health insurance physicians in Bavaria, Germany, with polymerase chain reaction (PCR) test confirmed or excluded SARS-CoV-2 infection in first three quarters of 2020. Statistical modelling and machine learning were used for effect estimation and for hypothesis testing of risk factors, and for prognostic modelling of cardiovascular or pulmonary complications. RESULTS: A cohort of 99 811 participants with PCR test was identified. In a fully adjusted multivariable regression model, dementia (odds ratio (OR) = 1.36), type 2 diabetes (OR = 1.14) and obesity (OR = 1.08) were identified as significantly associated with a positive PCR test result. Significant risk factors for cardiovascular or pulmonary complications were coronary heart disease (CHD) (OR = 2.58), hypertension (OR = 1.65), tobacco consumption (OR = 1.56), chronic obstructive pulmonary disease (COPD) (OR = 1.53), previous pneumonia (OR = 1.53), chronic kidney disease (CKD) (OR = 1.25) and type 2 diabetes (OR = 1.23). Three simple decision rules derived from prognostic modelling based on age, hypertension, CKD, COPD and CHD were able to identify high risk patients with a sensitivity of 74.8% and a specificity of 80.0%. CONCLUSIONS: The decision rules achieved a high prognostic accuracy non-inferior to complex machine learning methods. They might help to identify patients at risk, who should receive special attention and intensified protection in ambulatory care.

Investigation of the quality of life of patients with coronary heart disease during COVID-19 and analysis of influencing factors.

At present, coronavirus disease 2019 (COVID-19) has become a global public health emergency, bringing a great threat to human health. This study aims to evaluate and analyze the factors that influence the quality of life (QOL) of patients with coronary heart disease (CHD) during COVID-19 to provide a realistic basis for improving their QOL. A total of 70 patients with CHD were selected through convenience sampling from three heart rehabilitation centers. The cross-sectional survey of the study cases were carried out using an online survey platform. All of the participants completed a general situation questionnaire, and QOL was assessed through the 36-item Short Form Health Survey. Results showed that the overall QOL of patients with CHD during COVID-19 was poor, having an average score of 65.99 ± 10.97. Moreover, multivariate linear regression analysis showed that worry about COVID-19 (P < 0.05) and different exercise intervention types (P < 0.05) were the main factors affecting the QOL of patients. On the one hand, positive measures should be taken to provide psychological counseling to ease their sense of concern. On the other hand, engaging in exercise is more important for these patients to improve physical function, particularly Tai Chi exercises.

Latin-American Registry of Cardiovascular Disease and COVID-19: Rationale and Design of the CARDIO COVID 19-20 Registry.

Background: Infection caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) exhibits a strong infectivity but less virulence compared to severe acute respiratory syndrome (SARS) and the Middle East respiratory syndrome (MERS). In terms of cardiovascular morbidity, susceptible population include elderly and patients with certain cardiovascular conditions. This infection has been associated with cardiac injury, cardiovascular complications and higher mortality. Objectives: The main objective of the CARDIO COVID 19-20 Registry is to determine the presence of cardiovascular comorbidities and cardiovascular complications in COVID-19 infected patients that required in-hospital treatment in different Latin American institutions. Methods: The CARDIO COVID 19-20 Registry is an observational, multicenter, ambispective, and hospital-based registry of patients with confirmed COVID-19 infection who required in-hospital treatment in Latin America. Enrollment of patients started on May 01, 2020 and was initially planned to last three months; based on the progression of pandemic in Latin America, enrollment was extended until December 2020, and could be extended once again based on the pandemic course in our continent at that moment. Conclusions: The CARDIO COVID 19-20 Registry will characterize the in-hospital population diagnosed with COVID-19 in Latin America in order to identify risk factors for worsening of cardiovascular comorbidities or for the appearance of cardiovascular complications during hospitalization and during the 30-day follow up period.

Early Warning Factors of Death in COVID-19 Patients.

The infectious coronavirus disease 2019 (COVID-19) has spread all over the world and been persistently evolving so far. The number of deaths in the whole world has been rising rapidly. However, the early warning factors for mortality have not been well ascertained. In this retrospective, single-centre cohort study, we included some adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Renmin Hospital of Wuhan University who had been discharged or had died by Apr. 8, 2020. Demographic, clinical and laboratory data at admission were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable analysis, Cox proportional hazard model analysis and receiver operating characteristic (ROC) curve to explore the early warning factors associated with in-hospital death. A total of 159 patients were included in this study, of whom 86 were discharged and 73 died in hospital. Hypertension (52.1% vs. 29.1%, P=0.003) and coronary heart disease (28.8% vs. 12.8%, P=0.012) were more frequent among non-survived patients than among survived patients. The proportions of patients with dyspnoea (67.1% vs. 25.6%, P<0.001), chest distress (58.9% vs. 26.7%, P<0.001) and fatigue (64.4% vs. 25.6%, P<0.001) were significantly higher in the non-survived group than in the survived group. Regression analysis with the Cox proportional hazards mode revealed that increasing odds of in-hospital death were associated with higher IL-6 (odds ratio 10.87, 95% CI 1.41-83.59; P=0.022), lactate (3.59, 1.71-7.54; P=0.001), older age (1.86, 1.03-3.38; P=0.041) and lower lymphopenia (5.44, 2.71-10.93; P<0.001) at admission. The areas under the ROC curve (AUCs) of IL-6, lymphocyte, age and lactate were 0.933, 0.928, 0.786 and 0.753 respectively. The AUC of IL-6 was significantly higher than that of age (z=3.332, P=0.0009) and lactate (z=4.441, P<0.0001) for outcome prediction. There was no significant difference between the AUCs of IL-6 and lymphocyte for outcome prediction (z=0.372, P=0.7101). It was concluded that the potential risk factors of higher IL-6, lactate, older age and lower lymphopenia at admission could help clinicians to identify patients with poor prognosis at an early stage.

[Comparison of the demographic characteristics and comorbidities of patients with COVID-19 who died in Spanish hospitals based on whether they were or were not admitted to an intensive care unit]. / Comparación de las características demográficas y comorbilidad de los pacientes con COVID-19 fallecidos en hospitales españoles, en función de si ingresaron o no en Cuidados Intensivos.

OBJECTIVE: To describe and compare the demographic characteristics and comorbidities of patients with COVID-19 who died in Spanish hospitals during the 2020 pandemic based on whether they were or were not admitted to an intensive care unit (ICU) prior to death. METHODS: We performed a secondary analysis of COVID-19 patients who died during hospitalization included by 62 Spanish emergency departments in the SIESTA cohort. We collected the demographic characteristics and comorbidities, determined both individually and estimated globally by the Charlson index (ChI). Independent factors related to ICU admission were identified and different analyses of sensitivity were performed to contrast the consistency of the findings of the principal analysis. RESULTS: We included the 338 patients from the SIESTA cohort that died during hospitalization. Of these, 77 (22.8%) were admitted to an ICU before dying. After multivariate adjustment, 3 out of the 20 basal characteristics analyzed in the present study were independently associated with ICU admission: dementia (no patients with dementia who died were admitted to the ICU: OR = 0, 95%CI = not calculable), active cancer (OR = 0.07; 95%CI = 0.02-0.21) and age (< 70 years: OR = 1, reference; 70-74 years: OR = 0.21; 95%CI = 0.08-0.54; 75-79 years: OR = 0.21; 95%CI = 0.08-0.54; ≥ 80 years: OR = 0.02; 95%CI = 0.01-0.05). The probability of ICU admission significantly increased in parallel to the ChI, even after adjustment for age (ChI 0 points: OR = 0, reference; ChI 1 point: OR = 0.36; 95%CI = 0.16-0.83; ChI 2 points: OR = 0.36; 95%CI = 0.16-0.83; ChI >2 points: OR = 0.09; 95%CI = 0.04-0.23). The sensitivity analyses showed no gross differences compared to the principal analysis. CONCLUSIONS: The profile of COVID-19 patients who died without ICU admission is similar to that observed in the usual medical practice before the pandemic. The basal characteristics limiting their admission were age and global burden due to comorbidity, especially dementia and active cancer.

Coronary heart disease and COVID-19: A meta-analysis.

OBJECTIVE: Since the World Health Organization (WHO) announced coronavirus disease 2019 (COVID-19) had become a global pandemic on March 11, 2020, the number of infections has been increasing. The purpose of this meta-analysis was to investigate the prognosis of COVID-19 in patients with coronary heart disease. METHOD: Pubmed, Embase, and Cochrane Library databases were searched to collect the literature concerning coronary heart disease and COVID-19. The retrieval time was from inception to Nov 20, 2020, using Stata version 14.0 for meta-analysis. RESULTS: A total of 22,148 patients from 40 studies were included. The meta-analysis revealed that coronary heart disease was associated with poor prognosis of COVID-19 (OR=3.42, 95%CI [2.83, 4.13], P<0.001). After subgroup analysis, coronary heart disease was found to be related to mortality (OR=3.75, 95%CI [2.91, 4.82], P<0.001), severe/critical COVID-19 (OR=3.23, 95%CI [2.19, 4.77], P<0.001), ICU admission (OR=2.25, 95%CI [1.34, 3.79], P=0.002), disease progression (OR=3.01, 95%CI [1.46, 6.22], P=0.003); Meta-regression showed that the association between coronary heart disease and poor prognosis of COVID-19 was affected by hypertension (P=0.004), and subgroup analysis showed that compared with the proportion of hypertension >30% (OR=2.85, 95%CI [2.33, 3.49]), the proportion of hypertension <30% (OR=4.78, 95%CI [3.50, 6.51]) had a higher risk of poor prognosis. CONCLUSION: Coronary heart disease is a risk factor for poor prognosis in patients with COVID-19.

At-risk population for COVID-19: multimorbidity characteristics of a European small Island state.

OBJECTIVES: Multimorbidity, defined as the co-occurrence of at least two chronic diseases, is a common occurrence with ageing and a recognised public health concern, especially during the COVID-19 pandemic. The multimorbidity population is more susceptible to the virus, its complications, and death. The study aimed to explore the multimorbidity characteristics and their associations at a population level for the first time in Malta. Such data enables adequate priority and policy planning due to COVID-19's predilection for this population. STUDY AND METHODS: Baseline data was collected from 3,947 adults recruited between 2014-2016 through a cross-sectional study. A single-stage sampling strategy was implemented and stratified by age (18 -70 years), sex and locality. Participants were invited to attend a health examination survey consisting of a questionnaire, anthropometric and biological measurements. Descriptive (chi-square) and analytic (regression modelling) statistics were used to determine the characteristics and associations of the multimorbidity population. The chronic diseases considered for multimorbidity were type 2 diabetes, obesity, hypertension, myocardial infraction, coronary heart disease and dyslipidaemia. RESULTS: Multimorbidity was present in 33% (95% confidence interval 31.54-34.47) of the study population, with a male predominance. Hypertension and myocardial infarction were the commonest multimorbidity combination from a young age group (20-30 years). Low socio-economic status and residing on the island of Gozo were positively associated with multimorbidity. CONCLUSION: Multimorbidity in Malta was evident from a young age, with the highest occurrence among the low socio-economic status and residents of Gozo, bringing forward the need for preventive action. An adaptive healthcare system and policies are recommended to prevent, support, and manage multimorbidity non-communicable diseases while bracing for the current COVID-19 pandemic.

Clinical Features of 85 Fatal Cases of COVID-19 from Wuhan. A Retrospective Observational Study.

Rationale: The global death toll from coronavirus disease (COVID-19) virus as of May 12, 2020, exceeds 286,000. The risk factors for death were attributed to advanced age and comorbidities but have not been accurately defined.Objectives: To report the clinical features of 85 fatal cases of COVID-19 in two hospitals in Wuhan.Methods: Medical records were collected of 85 fatal cases of COVID-19 between January 9, 2020, and February 15, 2020. Information recorded included medical history, exposure history, comorbidities, symptoms, signs, laboratory findings, computed tomographic scans, and clinical management.Measurements and Main Results: The median age of the patients was 65.8 years, and 72.9% were male. Common symptoms were fever (78 [91.8%]), shortness of breath (50 [58.8%]), fatigue (50 [58.8%]), and dyspnea (60 [70.6%]). Hypertension, diabetes, and coronary heart disease were the most common comorbidities. Notably, 81.2% of patients had very low eosinophil counts on admission. Complications included respiratory failure (80 [94.1%]), shock (69 [81.2%]), acute respiratory distress syndrome (63 [74.1%]), and arrhythmia (51 [60%]), among others. Most patients received antibiotic (77 [90.6%]), antiviral (78 [91.8%]), and glucocorticoid (65 [76.5%]) treatments. A total of 38 (44.7%) and 33 (38.8%) patients received intravenous immunoglobulin and IFN-α2b, respectively.Conclusions: In this depictive study of 85 fatal cases of COVID-19, most cases were males aged over 50 years with noncommunicable chronic diseases. The majority of the patients died of multiple organ failure. Early onset of shortness of breath may be used as an observational symptom for COVID-19 exacerbations. Eosinophilopenia may indicate a poor prognosis. A combination of antimicrobial drugs did not offer considerable benefit to the outcome of this group of patients.

Impact of cardiovascular and metabolic diseases on the severity of COVID-19: a systematic review and meta-analysis.

We examined the effects of coronary heart disease (CHD), hypertension and diabetes on the development of severe COVID-19. We performed a comprehensive, systematic literature search for studies published between December 2019 and July 5, 2020 in five databases. The prevalence of severe COVID-19 in patients with CHD, hypertension and diabetes was evaluated through a meta-analysis. Thirty-five articles with 8,170 patients were included, and all the available studies were case series. The pooled odds ratio for the development of severe COVID-19 was 3.21 for patients with CHD (fixed-effects model, 95% CI: 2.58-3.99), 2.27 for patients with hypertension (random-effects model, 95% CI: 1.79-2.90) and 2.34 for patients with diabetes (random-effects model, 95% CI: 1.79-3.05). The heterogeneity of the studies was moderate for the effect of CHD on COVID-19 severity, but was high for the effects of diabetes and hypertension. Funnel plots and Egger's tests revealed no publication bias in the CHD and hypertension analyses, but suggested publication bias in the diabetes analysis. This bias was corrected using the trim-and-fill method, and was ultimately found to have no effect on the results. Our findings suggest patients with CHD, hypertension and diabetes are at greater risk for developing severe COVID-19 than those without these conditions.

Obesity as a risk factor for COVID-19 mortality in women and men in the UK biobank: Comparisons with influenza/pneumonia and coronary heart disease.

Obesity is associated with severe COVID-19 outcomes, yet, it is unclear whether the risk of COVID-19 mortality associated with obesity is similar between the sexes. We used data from the UK Biobank to assess the risk of COVID-19 mortality associated with various anthropometric measures in women and men. To put these results in context, we also compared these estimates with those for mortality from influenza/pneumonia and coronary heart disease (CHD). The analyses included 502 493 individuals (54% women), of whom 410 (36% women) died from COVID-19, 549 (36% women) died from influenza/pneumonia and 3355 (19% women) died from CHD. A higher body mass index (BMI), waist circumference, waist-to-hip ratio and waist-to-height ratio were each associated with a greater risk of death from COVID-19, influenza/pneumonia and CHD in both sexes, with the exception of the association between higher BMI and the risk of influenza/pneumonia death in men. A higher BMI was associated with a stronger risk of COVID-19 mortality in women than men; the women-to-men ratio of hazard ratios was 1.20 (95% confidence interval 1.00; 1.43). This study demonstrates the role of obesity in COVID-19 mortality and shows that the relative effects of a higher BMI on COVID-19 mortality may be stronger in women than men.

History of coronary heart disease increased the mortality rate of patients with COVID-19: a nested case-control study.

OBJECTIVE: Evaluate the risk of pre-existing comorbidities on COVID-19 mortality, and provide clinical suggestions accordingly. SETTING: A nested case-control design using confirmed case reports released from the news or the national/provincial/municipal health commissions of China between 18 December 2019 and 8 March 2020. PARTICIPANTS: Patients with confirmed SARS-CoV-2 infection, excluding asymptomatic patients, in mainland China outside of Hubei Province. OUTCOME MEASURES: Patient demographics, survival time and status, and history of comorbidities. METHOD: A total of 94 publicly reported deaths in locations outside of Hubei Province, mainland China, were included as cases. Each case was matched with up to three controls, based on gender and age ±1 year old (94 cases and 181 controls). The inverse probability-weighted Cox proportional hazard model was performed, controlling for age, gender and the early period of the outbreak. RESULTS: Of the 94 cases, the median age was 72.5 years old (IQR=16), and 59.6% were men, while in the control group the median age was 67 years old (IQR=22), and 64.6% were men. Adjusting for age, gender and the early period of the outbreak, poor health conditions were associated with a higher risk of COVID-19 mortality (HR of comorbidity score, 1.31 [95% CI 1.11 to 1.54]; p=0.001). The estimated mortality risk in patients with pre-existing coronary heart disease (CHD) was three times that of those without CHD (p<0.001). The estimated 30-day survival probability for a profile patient with pre-existing CHD (65-year-old woman with no other comorbidities) was 0.53 (95% CI 0.34 to 0.82), while it was 0.85 (95% CI 0.79 to 0.91) for those without CHD. Older age was also associated with increased mortality risk: every 1-year increase in age was associated with a 4% increased risk of mortality (p<0.001). CONCLUSION: Extra care and early medical interventions are needed for patients with pre-existing comorbidities, especially CHD.

Adaptation of a Russian population to SARS-CoV-2: Asymptomatic course, comorbidities, mortality, and other respiratory viruses - A reply to Fear versus Data.

This study was conducted to assess the spread of SARS-CoV-2 in Russia and the adaptation of the population to the virus in March to June 2020. Two groups were investigated: 1) 12 082 individuals already proven positive for SARS-CoV-2 (clinical information was studied); 2) 7864+4458 individuals with suspected respiratory infections (polymerase chain reaction [PCR] tests and clinical information were studied). In the latter, SARS-CoV-2-positive individuals comprised 5.37% in March and 11.42% in June 2020. Several viral co-infections were observed for SARS-CoV-2. Rhinoviruses accounted for the largest proportion of co-infections (7.91% of samples were SARS-CoV-2-positive); followed by respiratory syncytial virus (7.03%); adenoviruses (4.84%); metapneumoviruses (3.29%); parainfluenza viruses (2.42%); enterovirus D68 (1.10%) and other viruses (entero-, echo-, parecho-) (<1%). Average SARS-CoV-2 case fatality rate in the group of 12 537 individuals was determined to be 0.6% (in contrast to official Russian government statistics of 1.5% mortality). This rate is within the range of mortality caused by other common seasonal respiratory viruses (0.01-2.21% in Russia in 2012 to 2020). Most fatalities occurred in individuals with comorbidities, as for other respiratory viruses. The proportion of SARS-CoV-2 asymptomatic carriers was 56.68% in March and 70.67% in June 2020. This new pathogen presents a substantial risk to human beings as it was not contained at the start of its outbreak in Wuhan and spread worldwide. However, surveillance, prevention and treatment must be strictly evidence-based and not dictated by fear.

Blood routine test in mild and common 2019 coronavirus (COVID-19) patients.

The new 2019 coronavirus disease (COVID-19), according to the World Health Organization (WHO), has been characterized as a pandemic. As more is being discovered about this virus, we aim to report findings of the complete blood count (CBC) of COVID-19 patients. This would serve in providing physicians with important knowledge on the changes that can be expected from the CBC of mild and normal COVID-19 patients. A total of 208 mild and common patients were admitted at the Dongnan Hospital located in the city of Xiaogan, Hubei, China. The CBCs of these patients, following a confirmed diagnosis of COVID-19, were retrospectively analyzed and a significant P<0.05 was found after a full statistical analysis was conducted using the Statistical Package for the Social Sciences (IBM SPSS). CBC analysis revealed changes in the levels of red blood cells (RBCs), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), and C-reactive protein (CRP). Clinicians should expect similar findings when dealing with the new COVID-19.

Epidemiological and clinical course of 483 patients with COVID-19 in Wuhan, China: a single-center, retrospective study from the mobile cabin hospital.

During the COVID-19 outbreak, the mobile cabin hospital has effectively isolated and treated patients diagnosed as mild-moderate disease. However, a detailed clinical course has not been well described. We included 483 patients who were isolated and treated from Feb 6, 2020, to Feb 15, 2020, including definite outcome (discharge or deterioration). Sixty-two patients were transferred to severe cases, of whom were trasfered to designated hospital for intensive care. By March 9, 2020, all patients were discharged without dead. The mobile cabin hospital provides feasible strategy of isolation of mild-moderate cases and timely intervention during the virus outbreak.