Gender Difference Is Associated With Severity of Coronavirus Disease 2019 Infection: An Insight From a Meta-Analysis

Takotsubo Syndrome in Patients With COVID-19: A Systematic Review

Background

Respiratory conditions are major physical triggers of takotsubo syndrome (TTS) and portend worse outcomes. However, data on TTS in patients with coronavirus disease-2019 infection (COVID-19) are limited.

Methods

We searched PubMed, Embase, and Cochrane Library databases for case reports for the period 2019-2022 describing TTS in patients with COVID-19 pneumonia (TTS-COVID). We summarized the clinical data and outcomes and compared them to those in patients with TTS with an acute respiratory disease other than COVID-19 as a trigger (TTS-acute respiratory disease) and those with TTS with no respiratory disease (TTS-no respiratory disease).

Results

The mortality rate was higher in those with TTS-COVID (26.0%) than those with TTS-acute respiratory disease (5.7%) or TTS-no respiratory disease (4.2%; P < 0.001 for both). The proportion of men was higher in TTS-COVID (33.3%) than it was in TTS-no respiratory disease (9.1%; P < 0.001). The manifestations of TTS in COVID patients were atypical (dyspnea [70.3%] and cough [40.6%]); few had chest pain (23.4%). Cardiovascular risk factors were common in the TTS-COVID cohort, but fewer patients were on cardioprotective medications in this group than in the other 2 groups. Level of catecholamine use was higher in the TTS-COVID group (37.7%) than it was in the TTS-no respiratory disease (10.9%; P < 0.001) group. Apical ballooning (72.6%) was the most common TTS subtype, and basal segment type was seen in 11.0% of TTS-COVID patients.

Conclusions

COVID-19 patients who developed TTS had high mortality rates and unique features, compared with those in the TTS-acute respiratory disease group or the TTS-no respiratory disease group. Understanding the pathophysiology of TTS in COVID-19 may help prevent TTS and direct therapy in this setting.

Association of specific ACE2 and TMPRSS2 variants with circulatory cytokines of COVID-19 Emirati patients

Introduction

The COVID-19 pandemic represented one of the most significant challenges to researchers and healthcare providers. Several factors determine the disease severity, whereas none alone can explain the tremendous variability. The Single nucleotide variants (SNVs) in angiotensin-converting enzyme-2 (ACE2) and transmembrane serine protease type-2 (TMPRSS2) genes affect the virus entry and are considered possible risk factors for COVID-19.

Methods

We compiled a panel of gene variants from both genes and used in-silico analysis to predict their significance. We performed biological validation to assess their capacity to alter the ACE2 interaction with the virus spike protein. Subsequently, we conducted a retrospective comparative genome analysis on those variants in the Emirati patients with different disease severity (total of 96) along with 69 healthy control subjects.

Results

Our results showed that the Emirati population lacks the variants that were previously reported as associated with disease severity, whereas a new variant in ACE2 "Chr X:g.15584534" was associated with disease severity specifically among female patients. In-silico analysis revealed that the new variant can determine the ACE2 gene transcription. Several cytokines (GM-CSF and IL-6) and chemokines (MCP-1/CCL2, IL-8/CXCL8, and IP-10/CXCL10) were markedly increased in COVID-19 patients with a significant correlation with disease severity. The newly reported genetic variant of ACE2 showed a positive correlation with CD40L, IL-1β, IL-2, IL-15, and IL-17A in COVID-19 patients.

Conclusion

Whereas COVID-19 represents now a past pandemic, our study underscores the importance of genetic factors specific to a population, which can influence both the susceptibility to viral infections and the level of severity; subsequently expected required preparedness in different areas of the world.

Hemostatic and liver function parameters as COVID-19 severity markers

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a disease newly discovered in December 2019 which affects coagulation cascade and liver functions. The aim of this study was to investigate the potential of hemostatic and liver function parameters as severity markers in COVID-19 patients. This study was an observational analytic with cohort retrospective design using total sampling method. Data were retrieved from medical record of COVID-19 patients admitted to provincial hospital in Banda Aceh, Indonesia from March 2020 to March 2022. There were 1208 data eligible for the study after applying certain criteria. Mann-Whitney, logistic regression, and receiving operating characteristic (ROC) analyses were used to analysis the data. Thrombocyte count (p<0.001), prothrombin time (p<0.001), activated partial thromboplastin time (p<0.001), D-dimer (p<0.001), fibrinogen (p<0.001), aspartate aminotransferase (p<0.001), and alanine transaminase (p<0.001) significantly increased in severe compared to mild COVID-19 patients. After being adjusted, age (odds ratio (OR); 1.026 (95% confidence interval (CI): 1.016-1.037) was the most significant factor in predicting COVID-19 severity. Fibrinogen (cut-off 526.5 mg/L) was the best parameter associated with COVID-19 severity with 70% sensitivity and 66.4% specificity. Meanwhile, D-dimer (cut-off 805 ng/mL) had a sensitivity of 72.3% and specificity of 66.4%. Combining the parameters resulted in improved sensitivity to 82.0% with a slight decline of specificity to 65.5%. In conclusion, fibrinogen and D-dimer level on admission could be used as biomarkers in predicting COVID-19 prognosis. Routine monitoring and evaluation of laboratory testing especially D-dimer and fibrinogen could be implemented in order to reduce morbidity and mortality rate of COVID-19.

Mortality and Survival Factors in Patients with Moderate and Severe Pneumonia Due to COVID-19

During the pandemic, some mortality-related factors were age, sex, comorbidities (obesity, diabetes mellitus, and hypertension), recovery time, hospitalizations, and biochemical markers. The present work aimed to identify the mortality and survival factors in adults with moderate and severe pneumonia due to COVID-19 during the first and second waves of the pandemic in Mexico at a third-level hospital (High-Specialty Regional Hospital of Ixtapaluca (HRAEI), Ixtapaluca, Estado de Mexico, Mexico). A database was generated using information from the electronic clinical records of patients hospitalized from December 2021 to August 2022. Survival analysis was performed associating age, sex, longer recovery times, and some drugs. The risk factors found were age in the patients between 40 and 60 years (OR = 1.70), male sex (OR = 1.53), the presence of comorbidities (OR = 1.66) and hypertension (OR = 2.19), work occupation (construction workers OR = 5.22, factory workers OR = 3.13, unemployed OR = 2.93), the prehospital use of metamizole sodium (OR = 2.17), cough (OR = 1.73), and in-hospital oxygen therapy (reservoir mask OR = 6.6). The survival factors found in this study were working in the healthcare field (OR = 0.26), the prehospital use of certain medications (paracetamol OR = 0.65, dexamethasone OR = 0.55, and azithromycin OR = 0.47), presenting ageusia (OR = 0.5) and hyporexia (OR = 0.34), and the time using in-hospital oxygen therapy (device 1 OR = 0.72). Prehospital treatment needs to be reevaluated as dexamethasone and azithromycin proved to be protective factors. Likewise, providing aggressive oxygen therapy during hospital admission decreased mortality risk.

Ancestral origins are associated with SARS-CoV-2 susceptibility and protection in a Florida patient population

COVID-19 is caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). The severity of COVID-19 is highly variable and related to known (e.g., age, obesity, immune deficiency) and unknown risk factors. The widespread clinical symptoms encompass a large group of asymptomatic COVID-19 patients, raising a crucial question regarding genetic susceptibility, e.g., whether individual differences in immunity play a role in patient symptomatology and how much human leukocyte antigen (HLA) contributes to this. To reveal genetic determinants of susceptibility to COVID-19 severity in the population and further explore potential immune-related factors, we performed a genome-wide association study on 284 confirmed COVID-19 patients (cases) and 95 healthy individuals (controls). We compared cases and controls of European (EUR) ancestry and African American (AFR) ancestry separately. We identified two loci on chromosomes 5q32 and 11p12, which reach the significance threshold of suggestive association (p<1x10-5 threshold adjusted for multiple trait testing) and are associated with the COVID-19 susceptibility in the European ancestry (index rs17448496: odds ratio[OR]  = 0.173; 95% confidence interval[CI], 0.08-0.36 for G allele; p = 5.15× 10-5 and index rs768632395: OR  =  0.166; 95% CI, 0.07-0.35 for A allele; p =  4.25×10-6, respectively), which were associated with two genes, PPP2R2B at 5q32, and LRRC4C at 11p12, respectively. To explore the linkage between HLA and COVID-19 severity, we applied fine-mapping analysis to dissect the HLA association with mild and severe cases. Using In-silico binding predictions to map the binding of risk/protective HLA to the viral structural proteins, we found the differential presentation of viral peptides in both ancestries. Lastly, extrapolation of the identified HLA from the cohort to the worldwide population revealed notable correlations. The study uncovers possible differences in susceptibility to COVID-19 in different ancestral origins in the genetic background, which may provide new insights into the pathogenesis and clinical treatment of the disease.

Significance of hematologic abnormalities in COVID-19 severity among infected patients in Lagos, Nigeria

BACKGROUND

There have been suggestions that hematologic abnormalities in COVID-19 are linked with the progression and severity of diseases and mortality. Lymphopenia, sepsis, and thrombocytopenia were highly reported in patients with COVID-19. This study investigated the significance of hematologic abnormalities in patients with COVID-19 in Lagos, Nigeria, and its potential as a diagnostic tool for COVID-19 severity.

RESULTS

This was a retrospective observational study with a total of 340 patients with COVID-19 (236 patients included in the analysis). These patients were categorized into two groups, comprising 71 patients with severe COVID-19 (SCP) and 165 patients with non-severe COVID-19 (NSCP). The majority were males in both categories (SCP 74.6% and NSCP 63.6%). The mean ± SD ages for SCP and NSCP were 52.28 ± 16.87 and 42.44 ± 17.18 years, respectively. The SCP (52.1%) and NSCP (20.0%) had underlying health conditions. The SCP exhibited significantly higher neutrophil counts (P < 0.05) and significantly lower mean hemoglobin, red blood cell (RBC), packed cell volume (PCV), and lymphocyte values (P < 0.05). Anemia and lymphocytopenia were more prominent in the SCP group than in the NSCP group (P < 0.05). Hemoglobin, RBC, PCV, and lymphocytes were inversely correlated with age-group in the SCP, while only lymphocytes and platelets were inversely correlated with age-group in the NSCP. The highest area under the ROC curve (AUC) for neutrophils was 0.739 with a sensitivity of 62.0% and specificity of 80.0%, while white blood cells had an AUC of 0.722 with a sensitivity of 73.2% and specificity of 61.2%. The AUC for neutrophil-lymphocyte ratio (NLR) was 0.766 with a sensitivity of 63.3% and specificity of 83.5%, while that for the platelet-lymphocyte ratio (PLR) was 0.695 with a sensitivity and specificity of 61.7% and 77.8%.

CONCLUSIONS

COVID-19 affected the levels of hemoglobin, RBC, PCV, and lymphocytes in the blood, and the differences were significant between the SCP and NSCP. The significant changes in neutrophil and lymphocyte counts may be useful in the prognosis and management of COVID-19 severity in hospital settings. Furthermore, NLR and PLR may be used in the prognosis and management of severe COVID-19 infection, as well as provide an objective basis for early identification and management in low-resource settings.

Masculinity, Perceived Vulnerability to COVID-19, and Adoption of Protective Behaviors

Epidemiological data show that men and women have similar probabilities of contracting COVID-19. However, men with COVID-19 tend to have more severe outcomes than women. We performed two studies to analyze the associations between gender, adherence to traditional masculinity ideology, perceived vulnerability to COVID-19, and the adoption of protective behaviors against COVID-19. In Study 1 (quota sample of the Italian adult population, N = 1,142), we found no differences between men and women in terms of the perceived probability of contracting COVID-19. However, compared to women, men perceived themselves to be less likely to suffer severe consequences if falling ill. In Study 2 (Italian community sample, N = 305), a moderated mediation model showed that adherence to traditional masculinity ideology moderated the association between being man and the perceived severity of the consequences of COVID-19, which, in turn, showed negative associations with three protective behaviors against COVID-19. The article ends with a discussion of the strengths and limitations of this research.

Risk factors for the deterioration of patients with mild COVID-19 admitted to a COVID-19 community treatment center

Background: The rapid increase in the number of coronavirus disease (COVID-19) patients led to the operation of COVID-19 facilities for patients with mild COVID-19 in South Korea. We analyzed the correlation and effect of risk factors associated with the worsening of patients with mild COVID-19 leading to their transfer from a community treatment center to a hospital.Methods: This retrospective cohort observational study included 1,208 COVID-19 patients with mild symptoms who were admitted to the Namsan Community Treatment Center between June 2020 and January 2021. A chi-square test was performed to examine the differences in the transfer rate by age, sex, nationality, presence of symptoms at admission, and season, and a multivariable logistic regression analysis was performed to examine the association of variables to the hospitalization rate.Results: Of the 1,208 patients, 212 (17.5%) were transferred to a hospital due to clinical deterioration. Increasing odds of hospital transfer were associated significantly with higher age and presentation in autumn, whereas sex and symptomatic illness at admission did not show a statistically significant association.Conclusion: The findings indicate the importance of the initial risk classification of COVID-19 patients based on thorough assessment and close monitoring, timely allocation of appropriate resources to high-risk groups that are likely to develop severe disease, and reduction of medical resource wastage and limiting of administrative force to ensure that patients receive the best treatment.

Predictors of Mortality Among Hospitalized COVID-19 Patients at a Tertiary Care Hospital in Ethiopia

Background

The very unprecedented virus causing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has continued causing catastrophes in economy and loss of human lives. Despite countries' urgent and resilient public health actions against the COVID-19 pandemic, the disease is causing a large number of deaths. However, predictors of mortality among hospitalized COVID-19 patients have not been well investigated in Ethiopia. Therefore, this study aimed to identify the predictors of mortality among hospitalized COVID-19 patients at a tertiary care hospital in Ethiopia.

Methods

A hospital-based retrospective cohort design study was implemented among hospitalized COVID-19 patients at a tertiary care hospital in Harar, Ethiopia from March 20 to August 20, 2021. Data of 531 admitted patients were entered using Epi-data 3.1 and exported to STATA 14.2 for analysis. Binary logistic regression was used to identify significant predictors of outcome variables with an adjusted odds ratio (AOR) with a 95% confidence interval.

Results

Of the total 531 study participants, 101 deaths occurred. The mortality rate was 16.2 per 1000 person-days of observation with median survival time of 44 days with IQR [28, 74]. Smoking history [AOR=2.55, 95% CI (1.15, 5.65)], alcohol history [AOR=2.3, 95% CI (1.06, 4.97)], comorbidities [AOR=2.95, 95% CI (1.26, 6.91)], and increasing oxygen saturation [AOR=0.92, 95% CI (0.89, 0.95)], and lymphocyte count [AOR=0.90, 95% CI (0.88, 0.97)] were independent significant predictors of death from Covid-19.

Conclusion

The incidence of mortality among hospitalized COVID-19 patients was found to be high. Devising individual, tailored management for patients with "risk" behaviors, comorbid conditions, and poor prognostic markers such as lymphopenia and low oxygen saturation, may reduce the incidence of death among hospitalized COVID-19 patients.

Prediction of in-hospital mortality with machine learning for COVID-19 patients treated with steroid and remdesivir

We aimed to create the prediction model of in-hospital mortality using machine learning methods for patients with coronavirus disease 2019 (COVID-19) treated with steroid and remdesivir. We reviewed 1571 hospitalized patients with laboratory confirmed COVID-19 from the Mount Sinai Health System treated with both steroids and remdesivir. The important variables associated with in-hospital mortality were identified using LASSO (least absolute shrinkage and selection operator) and SHAP (SHapley Additive exPlanations) through the light gradient boosting model (GBM). The data before February 17th, 2021 (N = 769) was randomly split into training and testing datasets; 80% versus 20%, respectively. Light GBM models were created with train data and area under the curves (AUCs) were calculated. Additionally, we calculated AUC with the data between February 17th, 2021 and March 30th, 2021 (N = 802). Of the 1571 patients admitted due to COVID-19, 331 (21.1%) died during hospitalization. Through LASSO and SHAP, we selected six important variables; age, hypertension, oxygen saturation, blood urea nitrogen, intensive care unit admission, and endotracheal intubation. AUCs using training and testing datasets derived from the data before February 17th, 2021 were 0.871/0.911. Additionally, the light GBM model has high predictability for the latest data (AUC: 0.881) (https://risk-model.herokuapp.com/covid). A high-value prediction model was created to estimate in-hospital mortality for COVID-19 patients treated with steroid and remdesivir.

Role of fatty liver in coronavirus disease 2019 patients' disease severity and hospitalization length: a case-control study

Background and purpose

Fatty liver is one of the most common pre-existing illnesses; it can cause liver injury, leading to further complications in coronavirus disease 2019 patients. Our goal is to determine if pre-existing fatty liver is more prevalent in hospitalized COVID-19 patients compared to patients admitted before the SARS-CoV-2 pandemic and determine the disease severity among fatty liver patients.

Experimental approach

This retrospective study involves a case and a control group consisting of 1162 patients; the case group contains hospitalized COVID-19 patients with positive PCR tests and available chest CT-scan; the control group contains patients with available chest CT-scan previous to the COVID-19 pandemic. Patients’ data such as liver Hounsfield unit, hospitalization length, number of affected lobes, and total lungs involvement score were extracted and compared between the patients.

Results

The findings indicate that 37.9% of hospitalized COVID-19 patients have a pre-existing fatty liver, which is significantly higher (P < 0.001) than the prevalence of pre-existing fatty liver in control group patients (9.02%). In comparison to hospitalized non-fatty liver COVID-19 patients, data from hospitalized COVID-19 patients with fatty liver indicate a longer hospitalization length (6.81 ± 4.76 P = 0.02), a higher total lungs involvement score (8.73 ± 5.28 P < 0.001), and an increased number of affected lobes (4.42 ± 1.2 P < 0.001).

Conclusion

The statistical analysis shows fatty liver is significantly more prevalent among COVID-19 against non-COVID-19 patients, and they develop more severe disease and tend to be hospitalized for more extended periods.

Evaluating the Novel Coronavirus infection outbreak surveillance results in a state hospital: a retrospective study

Background

Coronavirus disease (COVID-19) has raised the global public health concern and has been declared a pandemic by the World Health Organization.

Objectives

This study was aimed to examine the clinical course and outcomes of the patients with COVID-19 in the southeastern part of Turkey.

Methods

This retrospective study was conducted on the files of 173 patients who were diagnosed with COVID-19. The “COVID-19 Case Information Form” in the patients' medical records was used.

Results

Of the patients with COVID-19, 64.2% were male and 16.2% had a chronic disease. Their mean age was 34.76±25.75 years. Cough and fatigue were the most common clinical symptoms at admission with 38.7%. The patients at the age of 65 and over were treated mostly in the intensive care unit, and the symptoms associated with the cardiovascular and nausea and vomiting were observed more often (p<0.05).

Conclusions

It was found that the majority of the patients were male and there were differences between the age groups in terms of transmission route, the clinic where they were being followed-up, some symptoms, and clinical status outcome. It is recommended that multi-center, prospective, experimental, or observational studies with larger samples should be and the patients should be followed-up for longer periods.

Association of Gender With Outcomes in Hospitalized Patients With 2019-nCoV Infection in Wuhan

Aim: The aim of this study was to analyze the association of gender with psychological status and clinical outcomes among patients with 2019-nCoV infection to provide new directions for the prevention and control of the pandemic.

Methods: One hundred and thirty-eight patients with confirmed 2019-nCoV infection at Wuhan Union Hospital, between February 8 and March 31, 2020, were included in the study analysis. General information and data on clinical characteristics were collected from patients' medical records. Participants' responses to self-report measures of psychological status were also collected.

Results: Anxiety levels, depression levels, and recovery rates were significantly higher among women compared to men. Conversely, chronic disease history and smoking rates, dry cough incidence, C-reactive protein levels, and disease severity were significantly higher among men than women (p < 0.05).

Conclusion: Female patients experienced more severe psychological issues, due to higher levels of anxiety and stress, than male patients; indicating that more attention should be paid to the psychological care of female patients. In contrast, the general condition of male patients was more severe, particularly among elderly male patients with a history of chronic disease and smoking, suggesting that, to prevent and control 2019-nCoV infection, male patients should be encouraged to quit smoking as soon as possible to reduce the risk of severe pneumonia.

Male predominance in disease severity and mortality in a low Covid-19 epidemic and low case-fatality area - a population-based registry study

BACKGROUND

Men reportedly suffer from a more severe disease and higher mortality during the global SARS-CoV-2 (Covid-19) pandemic. We analysed sex differences in a low epidemic area with low overall mortality in Covid-19 in a population based setting with patients treated in specialized healthcare.

METHODS

We entered all hospitalized laboratory-confirmed Covid-19 cases of all specialized healthcare hospitals of the Capital Province of Finland, into a population-based quality registry and described demographics, severity and case-fatality by sex of the first Covid-19 wave February-June 2020.

RESULTS

Altogether 5471 patients (49% male) were identified. Patients hospitalized in the specialist healthcare (N = 585, 54% male, OR 1.25; 95% CI 1.05-1.48) were of the same age. Men had less asthma and thyroid insufficiency and more coronary artery disease compared to women. Mean time from symptom onset to diagnosis was at least one day longer for men (p=.005). Men required intensive care unit (ICU) more often (27% vs. 17%) with longer lengths-of-stays at ICU. Male sex associated with significantly higher case-fatality at 90-days (15% vs. 8%) and all excess male deaths occurring after three weeks from onset. Men with fatal outcomes had delays in both Covid-19 testing and hospital admission after a positive test. The delays in patients with the most severe and fatal outcomes differed markedly by sex. In multivariable analysis, male sex associated independently with case-fatality (OR 2.37; 95% CI 1.22-4.59).

CONCLUSIONS

Male sex associated with higher disease severity and case-fatality. Late presentation of male fatal cases could represent different treatment-seeking behaviour or disease progression by sex.

Clinical decision support tool for diagnosis of COVID-19 in hospitals

Background

The coronavirus infectious disease 19 (COVID-19) pandemic has resulted in significant morbidities, severe acute respiratory failures and subsequently emergency departments’ (EDs) overcrowding in a context of insufficient laboratory testing capacities. The development of decision support tools for real-time clinical diagnosis of COVID-19 is of prime importance to assist patients’ triage and allocate resources for patients at risk.

Methods and principal findings

From March 2 to June 15, 2020, clinical patterns of COVID-19 suspected patients at admission to the EDs of Liège University Hospital, consisting in the recording of eleven symptoms (i.e. dyspnoea, chest pain, rhinorrhoea, sore throat, dry cough, wet cough, diarrhoea, headache, myalgia, fever and anosmia) plus age and gender, were investigated during the first COVID-19 pandemic wave. Indeed, 573 SARS-CoV-2 cases confirmed by qRT-PCR before mid-June 2020, and 1579 suspected cases that were subsequently determined to be qRT-PCR negative for the detection of SARS-CoV-2 were enrolled in this study. Using multivariate binary logistic regression, two most relevant symptoms of COVID-19 were identified in addition of the age of the patient, i.e. fever (odds ratio [OR] = 3.66; 95% CI: 2.97–4.50), dry cough (OR = 1.71; 95% CI: 1.39–2.12), and patients older than 56.5 y (OR = 2.07; 95% CI: 1.67–2.58). Two additional symptoms (chest pain and sore throat) appeared significantly less associated to the confirmed COVID-19 cases with the same OR = 0.73 (95% CI: 0.56–0.94). An overall pondered (by OR) score (OPS) was calculated using all significant predictors. A receiver operating characteristic (ROC) curve was generated and the area under the ROC curve was 0.71 (95% CI: 0.68–0.73) rendering the use of the OPS to discriminate COVID-19 confirmed and unconfirmed patients. The main predictors were confirmed using both sensitivity analysis and classification tree analysis. Interestingly, a significant negative correlation was observed between the OPS and the cycle threshold (Ct values) of the qRT-PCR.

Conclusion and main significance

The proposed approach allows for the use of an interactive and adaptive clinical decision support tool. Using the clinical algorithm developed, a web-based user-interface was created to help nurses and clinicians from EDs with the triage of patients during the second COVID-19 wave.

Sex-based differences in severity and mortality in COVID-19

The current coronavirus disease (COVID‐19) pandemic caused by novel severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) has a male bias in severity and mortality. This is consistent with previous coronavirus pandemics such as SARS‐CoV and MERS‐CoV, and viral infections in general. Here, we discuss the sex‐disaggregated epidemiological data for COVID‐19 and highlight underlying differences that may explain the sexual dimorphism to help inform risk stratification strategies and therapeutic options.

The Female Athlete's Heart: Overview and Management of Cardiovascular Diseases

The number of female athletes taking part in elite and amateur sport is ever increasing. In contrast with male athletes, few studies have focused on cardiovascular adaptations to exercise in women, the effects of lifelong exercise on heart muscle and electrical tissue, the risk of exerciserelated sudden cardiac death and the management of cardiovascular disease. Women have a lower prevalence of large QRS complexes, repolarisation changes including inferior and lateral T-wave inversion, and cardiac dimensions exceeding predicted limits compared with men. The risk of exercise-related sudden cardiac death is significantly lower in women than men. Also, women who have engaged in lifelong exercise do not have a higher prevalence of AF, coronary artery calcification or myocardial fibrosis than their sedentary counterparts. Apart from providing an overview of the existing literature relating to cardiac adaptations, this review explores possible reasons for the sex differences and focuses on the management of cardiovascular disorders that affect female athletes.

The Association of Smell and Taste Dysfunction with COVID19, And Their Functional Impacts

The novel coronavirus disease 2019 (COVID-19), which caused Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), was appeared at the end of 2019 in wuhan city in china. Covid-19 has high ability of transmission from human to another human, and due to its fast spread globally, the World Health Organization (WHO) announced that Covid-19 is pandemic disease on March 11, 2020. Several articles have reported many common ENT-related symptoms as an early sign of COVID19. To measure the prevalence of insomnia and dysgeusia in COVID19 patients in Saudi Arabia and investigate their functional and psychological effects on patients. This study evaluated the impact of insomnia and dysgeusia on COVID-19 patients' quality of life using the short version of the Olfactory Disorders-Negative Statements (sQODNS) Questionnaire. It was done from 5 June to 30 July 2020, in the Eastern region of Saudi Arabia. A total of 274 laboratory-confirmed COVID-19 patients were participated. The most common ENT-related symptoms were headache 69%, insomnia 65.3%, and dysgeusia 64.6%. Interestingly, insomnia can greatly affect patients' daily life, as around 37.6% of our patients had problems with taking part in daily activities, 42% felt isolated, 68.1% had changes in appetite, 51.4% had more stress, and 28.2% had increased anger secondary to loss of smell. In Addition, 62% (110) of patients who lost their taste declared that their daily activities were affected. ENT-related symptoms are one of the most COVID19 manifestations. The duration of both insomnia and dysgeusia is an important contributing factor on the patients' functional & psychological state as it may prolong their isolation period. Therefore, Otolaryngologists considered the first-line physicians for many of Covid-19 patients, which makes us at higher risk to be infected with Covid-19 too. It is also particularly important for Otolaryngologists to develop a management guideline to reduce the duration and severity of all ENT-related features.

Presenting characteristics and clinical outcome of patients with COVID-19 in South Korea: A nationwide retrospective observational study

BACKGROUND

More than 13,000 cases were reported to be infected with COVID-19 by RT-PCR in South Korea. Most studies report clinical characteristics of hospitalized patients with COVID-19; the full spectrum of disease severity has thus not yet been well described.

METHODS

Using retrospective observational methods, this study analyzed factors affecting early clinical symptoms, clinical progress, and severity of disease for COVID-19 positive patients released from quarantine to provide information on establishing optimized care for new patients. The medical data of 7803 laboratory-confirmed patients who had been discharged or died by April 30, 2020 were analyzed using multivariate logistic regression analysis.

FINDINGS

On admission, 7383 (94•5%) patients were asymptomatic or showed mild illness, and 372 (4•8%) patients were severe illness. Also, 48 (0 0•6%) were hospitalized with critically ill when diagnosed. Most patients with asymptomatic or mild illness on admission remained mild until discharge, 253 (3•4%) progressed to severe illness, and 83 (1•1%) died in hospital. However, the case fatality were 29•8% and 62•5% in severe and critically ill patients, respectively. At admission, 73•0% of hospitalized patients had symptoms; most common were cough (42•5%), sputum (28•8%), and fever (20•1%). Only 35•2% of laboratory confirmed patients admitted to the temporary care facility complained of symptoms. Increasing odds of being critically ill was associated with older age (OR 28•93, 95% CI 13•34-62•75 for age >70y, vs. age <50 y; p<0•0001), being male (OR 2•15, 95% CI1•59-2•89; p<0•0001), fever (OR 2•52, 95% CI 1.84-3•45; p<0•0001), and shortness of breath (OR 7•40, 95% CI 5•37-10•19; p<0•0001). Comorbid illness significantly increased risk of critical illness or death.

INTERPRETATION

Most cases were discharged as asymptomatic or recovered from mild illness, and only 9•7% developed severe disease requiring oxygen therapy or more. Case fatality rate was 2•9%, and markedly increased in those over age 50. Risk factors such as age, sex, fever, shortness of breath, and underlying disease can be useful in predicting future clinical severity. Additionally, the number of confirmed asymptomatic COVID-19 patients significantly contribute to continued spread.

FUNDING

none.

Detection of severe acute respiratory syndrome coronavirus 2 in nasopharynx according to clinical phenotype of affected patients

OBJECTIVES

Duration of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the upper respiratory tract is extremely variable, but its relation to disease severity is unknown. We investigated this relation in the 530 000 inhabitants of the northeastern Italian province of Udine.

METHODS

We analysed real-time RT-PCR tests for SARS-CoV-2 in upper respiratory specimens conducted at the Virology Laboratory of the University Hospital of Udine, Italy (which serves the whole province) from 1 March to 30 April 2020 Specimens were from positive individuals in four groups characterized by different disease severity (critically ill patients admitted to intensive care units, patients admitted to infectious disease units, symptomatic patients visiting the emergency department and not hospitalized, and asymptomatic individuals tested during contact tracing or screening activities). Duration of viral positivity was assessed from the first positive test to the day of the first of two consecutive negative tests. Univariate and multivariate analyses were conducted to investigate differences in the four groups.

RESULTS

From 1 March to 30 April, 39 483 RT-PCR tests for SARS-CoV-2 were conducted on 23 778 individuals, and 974 individuals had a positive test result. Among those with multiple tests (n = 878), mean time to negativity was 23.7 days (standard error 0.3639; median 23, interquartile range 16-30 days). Mean time to negativity was longer in the group admitted to the intensive care unit than in the others, whereas no difference was observed between asymptomatic patients and those with mild disease.

CONCLUSIONS

Disease control measures should not be adjusted to account for differences in viral shedding according to symptomatic status.