Is Hypertension a Real Risk Factor for Poor Prognosis in the COVID-19 Pandemic?

Characteristics and Outcomes of 7620 Multiple Sclerosis Patients Admitted With COVID-19 in the United States

Background

At the start of the COVID-19 pandemic, several experts raised concerns about its impact on Multiple Sclerosis (MS) patients. This study aims to provide a perspective using the biggest inpatient database from the United States.

Method

We screened for COVID-19 cases between April to December 2020, via the 2020 National Inpatient Sample (NIS). Various outcomes were analyzed.

Results

We identified 1,628,110 hospitalizations with COVID-19, including 7620 (.5%) MS patients. 8.9% of MS patients with COVID-19 died, and it was lower than non-MS cases (12.9%). Less MS patients with COVID-19 needed non-invasive ventilation (4.5% vs 6.4%) and mechanical ventilation (9.0% vs 11.2%). Furthermore, MS patients with COVID-19 reported higher odds of non-invasive ventilation if they were ≥60 years, had chronic pulmonary disease (CPD), obesity, or diabetes. Private insurance beneficiaries showed reduced risk, vs Medicare. Similarly, for mechanical ventilation, those ≥60 years, with alcohol abuse, obesity, diabetes, hypertension, or dialysis had higher odds, while females, smokers, and those with depression or hyperlipidemia showed reduced odds. The study revealed higher odds of mortality among those aged ≥60, who had CPD, obesity, CKD, or a history of old MI while females, smokers, as well as those with depression, and hyperlipidemia showed better outcomes. Blacks had lower odds, whereas Hispanics had higher odds of death, vs Whites. Medicaid and Privately insured patients had lower odds of dying vs Medicare.

Conclusion

We found several differences in patient characteristics and outcomes among MS and non-MS patients with COVID-19.

Characteristics of COVID-19 Patients Admitted to Intensive Care Unit in Multispecialty Hospital of Riyadh, Saudi Arabia: A Retrospective Study

During the early stages of the COVID-19 pandemic, infection rates were high and symptoms were severe. Medical resources, including healthcare experts and hospital facilities, were put to the test to ensure their readiness to deal with this unique event. An intensive care unit (ICU) is expected to be required by many hospitalized patients. Many hospitals worldwide lacked resources during the pandemic's peak stages, particularly in critical care treatment. Because of this, there were issues with capacity, as well as an excessive influx of patients. Additionally, even though the research location provides medical care to a sizable population, there is a paucity of scientific data detailing the situation as it pertains to COVID-19 patients during the height of the outbreak. Therefore, this study aimed to identify and describe the features of COVID-19 patients hospitalized in the ICU of one of the multispecialty hospitals in Riyadh, Saudi Arabia. An observational retrospective study was conducted using a chart review of COVID-19 patients admitted to the ICU between March 2020 and December 2020. To characterize the patients, descriptive statistics were utilized. An exploratory multivariate regression analysis was carried out on the study cohort to investigate the factors that were shown to be predictors of death and intubation. Only 333 (29.33%) of the 1135 samples from the hospital's medical records were used for the final analysis and interpretation. More than 76% of the patients in the study were male, with a mean BMI of 22.07 and an average age of around 49 years. The most frequent chronic condition found among the patients who participated in the study was diabetes (39.34%), followed by hypertension (31.53%). At the time of admission, 63 of the total 333 patients needed to have intubation performed. In total, 22 of the 333 patients died while undergoing therapy. People with both diabetes and hypertension had a 7.85-fold higher risk of death, whereas those with only diabetes or hypertension had a 5.43-fold and 4.21-fold higher risk of death, respectively. At admission, intubation was necessary for many male patients (49 out of 63). Most intubated patients had hypertension, diabetes, or both conditions. Only 13 of the 63 patients who had been intubated died, with the vast majority being extubated. Diabetes and hypertension were significant contributors to the severity of illness experienced by COVID-19 participants. The presence of multiple comorbidities had the highest risk for intubation and mortality among ICU-admitted patients. Although more intubated patients died, the fatality rate was lower than in other countries due to enhanced healthcare management at the ICU of the study center. However, large-scale trials are needed to determine how effective various strategies were in preventing ICU admission, intubation, and death rates.

Adherence to antihypertensive treatment during the COVID-19 pandemic: findings from a cross-sectional study

BACKGROUND

Nonadherence to antihypertensive treatment is one of the main causes of the lack of blood pressure (BP) control. The coronavirus disease (COVID-19) pandemic imposes substantial social restriction impairing the medical care routine, which may influence adherence to the antihypertensive treatment. To assess the rate of nonadherence to antihypertensive drug treatment during the COVID-19 pandemic.

METHODS

This is a cross-sectional study evaluating hypertensive adult patients from a tertiary outpatient clinic. From March to August 2020, patients were interviewed by telephone during the social distancing period of the COVID-19 pandemic. We evaluated biosocial data, habits, attitudes, and treatment adherence using the 4-item Morisky Green Levine Scale during the social distancing. Uncontrolled BP was defined by BP ≥ 140/90 mmHg. Clinical and prescription variables for drug treatment were obtained from the electronic medical record. We performed a multivariate analysis to determine the predictors of nonadherence to BP treatment.

RESULTS

We studied 281 patients (age 66 ± 14 years, 60.5% white, 62.3% women, mean education of 9.0 ± 4 years of study). We found that 41.3% of the individuals reported poor adherence to antihypertensive drug treatment and 48.4% had uncontrolled BP. Subsample data identified that adherence was worse during the pandemic than in the previous period. The variables that were independently associated with the nonadherence during the pandemic period were black skin color (odds ratio [OR], 2.62; 95% confidence interval [CI], 1.46-4.68), and intermittent lack of access to antihypertensive medication during the pandemic (OR, 2.56; 95% CI, 1.11-5.89).

CONCLUSIONS

Beyond traditional variables associated with poor adherence, the lack of availability of antihypertensive medications during the study underscore the potential role of pandemic on hypertension burden.

Clinical characteristics and outcomes among patients with COVID-19: A single-center retrospective observational study from Marj, Libya

OBJECTIVES

To describe the clinical characteristics and the contributing factors potentially associated with the poorer outcome in Libyan COVID-19 ICU patients.

METHODS

The present work is a retrospective, single-center study, which included 94 COVID-19 patients admitted to the Isolation Department at Marj Hospital from August 21st, 2020 till April 30th, 2021. The patients' data, including their medical history, clinical manifestations, radiological imaging, and laboratory findings, were obtained from the hospital records.

RESULTS

A higher proportion of the admitted patients were males. The patients' mean age was 68.29 ± 13.64. The patients came with varying symptoms, but most commonly they were affected by dyspnea, fever, cough, and fatigue. Diabetes was the most common underlying comorbidity; nonetheless, other chronic diseases like hypertension, cardiovascular disease, renal disease, and lung diseases individually affected a significant proportion of patients. Although there was no effect of gender on patients' outcomes, age had a significant influence on the disease consequences.

CONCLUSION

There was a strong effect of age on ICU admission and patients' surviving the illness. Diabetes was the most common underlying comorbid disease in COVID-19 patients. On admission time, inflammatory markers such as CRP, D-dimer, serum ferritin, and LDH, in common, were the most important indicators of poorer prognosis. Male gender, comorbidity, and symptomology adversely affected the rate of admission but not the patient survival.

High Number and Specific Comorbidities Could Impact the Immune Response in COVID-19 Patients

Background

Cellular immunodeficiency and comorbidities are common in COVID-19 patients.

Aim

The purpose of this study was to investigate comorbidities impacting on the cellular immunity in COVID-19 patients.

Methods

The research objects included 55 healthy controls and 718 COVID-19 patients who divided into the control group and the COVID-19 group, respectively. Those in the COVID-19 group were divided into subgroups on the basis of the number and types of comorbidities present. Lymphocyte itself and its subsets were compared between the control group and the COVID-19 group, the groups with comorbidities based on the different number and types of comorbidities, and the relationship between the lymphocyte counts and subsets with the number and types of comorbidities was investigated.

Results

Compared with the control group, the lymphocyte counts and T cell subsets were significantly increased in the groups with comorbidities, but both B and NK cell subsets were significantly decreased in the no comorbidity group and in most of the groups with comorbidities (all P<0.05). In the three comorbidities group, the lymphocyte counts and T cell subsets were all significantly decreased, but the CD56+ percentage was obviously increased (all P<0.05). The number of comorbidities was negatively correlated with the lymphocyte counts and the T and NK cell subsets. A negative correlation also existed between cancer and both the lymphocyte counts and the T cell subsets, between chronic hepatitis B and the lymphocyte counts, and between chronic kidney disease and the CD3+ counts. A positive correlation existed between nonalcoholic fatty liver disease (NAFLD) disease and both lymphocyte and CD3+ counts. The risk factors were number of comorbidities for the lymphocyte count, CD3+CD4+ and CD3+CD8+ percentages, NAFLD for the lymphocyte and CD3+ counts, cardiovascular diseases for CD3+CD4+ and CD3+CD8+ percentages, diabetes mellitus for the CD3+CD8+ percentage, and cancer for the CD3+ percentage, respectively.

Conclusions

High numbers of comorbidities and specific comorbidities could impact the immune response of COVID-19 patients. This study provides a reference for clinicians in the identification of suitable and timely immunotherapy for COVID-19 patients.

Clinical Trial Registry

https://www.chictr.org.cn/enindex.aspx, identifier ChiCTR2000034563.

Discontinuing vs continuing ACEIs and ARBs in hospitalized patients with COVID-19 according to disease severity: Insights from the BRACE CORONA trial

BACKGROUND

We explored the effect of discontinuing versus continuing angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs) on clinical outcomes in patients with COVID-19 according to baseline disease severity.

METHODS

We randomized 659 patients with a confirmed diagnosis of COVID-19 and classified them as having mild or moderate COVID-19 disease severity at hospital presentation using blood oxygen saturation and lung imaging. The primary outcome was the mean ratio of number of days alive and out of the hospital at 30 days according to disease severity.

RESULTS

At presentation, 376 patients (57.1%) had mild and 283 (42.9%) had moderate COVID-19. In patients with mild disease, there was no significant difference in the number of days alive and out of the hospital between ACEI/ARB discontinuation (mean 23.5 [SD 6.3] days) and continuation (mean 23.8 [SD 6.5] days), with a mean ratio of 0.98 (95% CI 0.92-1.04). However, in patients with moderate disease, there were fewer days alive and out of the hospital with ACEI/ARB discontinuation (mean 19.6 [SD 9.5] days) than continuation (mean 21.6 [SD 7.6] days), with a mean ratio of 0.90 (95% CI 0.81-1.00; P-interaction = .01). The impact of discontinuing versus continuing ACEIs/ARBs on days alive and out of hospital through 30 days differed according to baseline COVID-19 disease severity.

CONCLUSIONS

Unlike patients with mild disease, patients with moderate disease who continued ACEIs/ARBs had more days alive and out of hospital through 30 days than those who discontinued ACEIs/ARBs. This suggests that ACEIs/ARBs should be continued for patients with moderate COVID-19 disease severity.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov (NCT04364893).

Retrospective Study of Aging and Sex-Specific Risk Factors of COVID-19 with Hypertension in China

Background

Coronavirus disease 2019 (COVID-19) has been a global threat that pushes healthcare to its limits. Hypertension is one of the most common risk factors for cardiovascular complications in COVID-19 and is strongly associated with disease severity and mortality. To date, clinical mechanisms by which hypertension leads to increased risk in COVID-19 are still unclear. Furthermore, additional factors might increase these risks, such as the consideration of age and sex, which are of interest when in search of personalized treatments for hypertensive COVID-19 patients.

Methods

We conducted a retrospective cohort study of 543 COVID-19 patients in seven provinces of China to examine the epidemiological and clinical characteristics of COVID-19 in this population and to determine risk factors of hypertensive COVID-19 patients. We also used univariable and multivariable logistic regression methods to explore the risk factors associated with hypertensive COVID-19 patients in different age and sex subgroups.

Results

Among the enrolled COVID-19 patients, the median age was 47 years (interquartile range (IQR) 34.0–57.0), and 99 patients (18.23%) were over 60 years old. With regard to comorbidities, 91 patients (16.75%) were diagnosed with hypertension, followed by diabetes, coronary disease, and cerebrovascular disease. Of the hypertensive COVID-19 patients, 51 (56.04%) were male. Multivariable analysis showed that old age, comorbid diabetes or coronary heart disease on admission, increased D-dimer, increased glucose, and decreased lymphocyte count were independent risk factors associated with hypertensive COVID-19 patients. Elevated total bilirubin (odds ratio [OR]: 1.014, 95% confidence interval [CI]: 0.23–1.05; p = 0.043) and triglycerides (OR: 1.173, 95% CI: 0.049–1.617; p = 0.007) were found to be associated with elderly hypertensive COVID-19 patients. In addition, we found that decreased lymphocytes, basophil, high-density lipoprotein, and increased fibrinogen and creatinine were related to a higher risk of disease severity in male patients. The most common abnormal clinical findings pertaining to female hypertensive COVID-19 patients were hemoglobin, total bile acid, total protein, and low-density lipoprotein.

Conclusions

Factors associated with increased risk of hypertensive COVID-19 patients were identified. Results to the different age and sex subgroups in our study will allow for better possible personalized care and also provide new insights into specific risk stratification, disease management, and treatment strategies for COVID-19 patients with hypertension in the future.

Characteristics of mechanically ventilated COVID-19 patients in the Al-Ahsa Region of Saudi Arabia: a retrospective study with survival analysis

BACKGROUND

About 5-10% of coronavirus disease 2019 (COVID-19) infected patients require critical care hospitalization and a variety of respiratory support, including invasive mechanical ventilation. Several nationwide studies from Saudi Arabia have identified common comorbidities but none were focused on mechanically ventilated patients in the Al-Ahsa region of Saudi Arabia.

OBJECTIVES

Identify characteristics and risk factors for mortality in mechanically ventilated COVID-19 patients.

DESIGN

Retrospective chart review SETTING: Two general hospitals in the Al-Ahsa region of Saudi Arabia PATIENTS AND METHODS: We included mechanically ventilated COVID-19 patients (>18 years old) admitted between 1 May and 30 November 2020, in two major general hospitals in the Al-Ahsa region, Saudi Arabia. Descriptive statistics were used to characterize patients. A multivariable Cox proportional hazards (CPH) model was used exploratively to identify hazard ratios (HR) of predictors of mortality.

MAIN OUTCOME MEASURES

Patient characteristics, mortality rate, extubation rate, the need for re-intubation and clinical complications during hospitalization.

SAMPLE SIZE AND CHARACTERISTICS

154 mechanically ventilated COVID-19 patients with median (interquartile range) age of 60 (22) years; 65.6% male.

RESULTS

Common comorbidities were diabetes (72.2%), hypertension (67%), cardiovascular disease (14.9%) and chronic kidney disease (CKD) (14.3%). In the multivariable CPH model, age >60 years old (HR=1.83, 95% CI 1.2-2.7, P=.002), CKD (1.61, 95% CI 0.9-2.6, P=.062), insulin use (HR=0.65, 95% CI 0.35-.08, P<.001), and use of loop diuretics (HR=0.51, 95% CI 0.4, P=.037) were major predictors of mortality.

CONCLUSION

Common diseases in mechanically ventilated COVID-19 patients from the Al-Ahsa region were diabetes, hypertension, other cardiovascular diseases, and CKD in this exploratory analysis.

LIMITATIONS

Retrospective, weak CPH model performance.

CONFLICTS OF INTEREST

None.

The importance of nutritional status on clinical outcomes among both ICU and Non-ICU patients with COVID-19

Background and aims

Methods

Results

Conclusion

Sequelae and Comorbidities of COVID-19 Manifestations on the Cardiac and the Vascular Systems

COVID-19 patients with pre-existing cardiovascular conditions are at greater risk of severe illness due to the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus. This review evaluates the highest risk factors for these patients, not limited to pre-existing hypertension, cardiac arrhythmias, hypercoagulation, ischemic heart disease, and a history of underlying heart conditions. SARS-CoV-2 may also precipitate de novo cardiac complications. The interplay between existing cardiac conditions and de novo cardiac complications is the focus of this review. In particular, SARS-CoV-2 patients present with hypercoagulation conditions, cardiac arrhythmias, as significant complications. Also, cardiac arrhythmias are another well-known cardiovascular-related complication seen in COVID-19 infections and merit discussion in this review. Amid the pandemic, myocardial infarction (MI) has been reported to a high degree in SARS-CoV-2 patients. Currently, the specific causative mechanism of the increased incidence of MI is unclear. However, studies suggest several links to high angiotensin-converting enzyme 2 (ACE2) expression in myocardial and endothelial cells, systemic hyper-inflammation, an imbalance between myocardial oxygen supply and demand, and loss of ACE2-mediated cardio-protection. Furthermore, hypertension and SARS-CoV-2 infection patients’ prognosis has shown mixed results across current studies. For this reason, an in-depth analysis of the interactions between SARS-CoV2 and the ACE2 cardio-protective mechanism is warranted. Similarly, ACE2 receptors are also expressed in the cerebral cortex tissue, both in neurons and glia. Therefore, it seems very possible for both cardiovascular and cerebrovascular systems to be damaged leading to further dysregulation and increased risk of mortality risk. This review aims to discuss the current literature related to potential complications of COVID-19 infection with hypertension and the vasculature, including the cervical one. Finally, age is a significant prognostic indicator among COVID-19 patients. For a mean age group of 70 years, the main presenting symptoms include fever, shortness of breath, and a persistent cough. Elderly patients with cardiovascular comorbidities, particularly hypertension and diabetes, represent a significant group of critical cases with increased case fatality rates. With the current understanding of COVID-19, it is essential to explore the mechanisms by which SARS-CoV-2 operates to improve clinical outcomes for patients suffering from underlying cardiovascular diseases and reduce the risk of such conditions de novo.

Hypertensive urgencies during the first wave of the COVID-19 pandemic in a tertiary hospital setting: a U-shaped alarming curve

INTRODUCTION

The coronavirus disease 2019 (COVID-19) pandemic provoked unprecedented disturbance in hypertension care, while alarming concerns arose about its long-term consequences. We investigated the trends of emergency visits and admissions regarding uncontrolled hypertension in order to assess the impact of COVID-19 spread on population behavior towards hypertension urgencies during its first wave.

MATERIAL AND METHODS

Data from daily unscheduled visits and admission counts in the Cardiology sector were collected from the Emergency Department database of a tertiary General Hospital in Athens, Greece for the period January 15^th to July 15^th 2020. These data were compared with those from the previous year. Cases of patients who presented with hypertensive urgency or who were admitted due to uncontrolled hypertension were separately analyzed.

RESULTS

A total of 7,373 patient records were analyzed. Hypertension urgency cases demonstrated a U-shaped distribution in 2020, showing a declining trend during the rapid virus spread, an image that was reversed after the transmission rate's decline. COVID-19 incidence in Greece was inversely associated with uncontrolled hypertension admissions during its declining phase (r = -0.64, p = 0.009), whereas total attendance exhibited a similar correlation during the first and the following months of the pandemic (r = 0.677, p = 0.031, r = -0.789, p = 0.001). Uncontrolled hypertension rate on admission was positively related to the national incidence of COVID-19 cases during the first months of 2020 (r = 0.82, p = 0.045).

CONCLUSIONS

Hypertensive urgency-related visits followed a U-shape distribution during the pandemic's first wave with the attendance nadir coinciding with the virus spread peak. This is a complex phenomenon, closely related to increased levels of public stress, disruptions in health care services and to a lesser extent to the imposed restrictions in transportation. The initial relative increase in uncontrolled hypertension-related admissions rate, combined with the later increase of hypertensive urgencies may be indicative of blood pressure deregulation among the studied population, which is multifactorial and potentially detrimental.

Hypertension and its management in COVID-19 patients: The assorted view

BACKGROUND

Coronavirus disease 2019 (COVID-19) is suspected to mainly be more deleterious in patients with underlying cardiovascular diseases (CVD). There is a strong association between hypertension and COVID-19 severity. The binding of SARS-CoV-2 to the angiotensin-converting enzyme 2 (ACE2) leads to deregulation of the renin-angiotensin-aldosterone system (RAAS) through down-regulation of ACE2 with subsequent increment of the harmful Ang II serum levels and reduction of the protective Ang-(1-7). Both angiotensin receptor blockers (ARBs) and angiotensin-converting enzyme inhibitors (ACEIs) are commonly used to manage hypertension.

OBJECTIVE

Objective was to illustrate the potential link between hypertension and COVID-19 regarding the role of angiotensin receptor blockers (ARBs) and angiotensin-converting enzyme inhibitors (ACEIs) in hypertensive patients with COVID-19.

METHODS

We carried out comprehensive databases search from late December 2019 to early January 2021 by using online engines of Web of Science, Research gate, Scopus, Google Scholar, and PubMed for published and preprinted articles.

RESULTS

The present study's findings showed that hypertension is regarded as an independent risk factor for COVID-19 severity. Both ACEIs and ARBs are beneficial in managing hypertensive patients.

CONCLUSION

This study concluded that hypertension increases COVID-19 severity due to underlying endothelial dysfunctions and coagulopathy. COVID-19 might augment the hypertensive complications due to down-regulation of ACE2. The use of ACEIs or ARBs might be beneficial in the management of hypertensive patients with COVID-19.

Symptomology following mRNA vaccination against SARS-CoV-2

Despite demonstrated efficacy of vaccines against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the causative agent of coronavirus disease-2019 (COVID-19), widespread hesitancy to vaccination persists. Improved knowledge regarding frequency, severity, and duration of vaccine-associated symptoms may help reduce hesitancy. In this prospective observational study, we studied 1032 healthcare workers who received both doses of the Pfizer-BioNTech SARS-CoV-2 mRNA vaccine and completed post-vaccine symptom surveys both after dose 1 and after dose 2. We defined appreciable post-vaccine symptoms as those of at least moderate severity and lasting at least 2 days. We found that symptoms were more frequent following the second vaccine dose than the first (74% vs. 60%, P < 0.001), with >80% of all symptoms resolving within 2 days. The most common symptom was injection site pain, followed by fatigue and malaise. Overall, 20% of participants experienced appreciable symptoms after dose 1 and 30% after dose 2. In multivariable analyses, female sex was associated with greater odds of appreciable symptoms after both dose 1 (OR, 95% CI 1.73, 1.19-2.51) and dose 2 (1.76, 1.28-2.42). Prior COVID-19 was also associated with appreciable symptoms following dose 1, while younger age and history of hypertension were associated with appreciable symptoms after dose 2. We conclude that most post-vaccine symptoms are reportedly mild and last <2 days. Appreciable post-vaccine symptoms are associated with female sex, prior COVID-19, younger age, and hypertension. This information can aid clinicians in advising patients on the safety and expected symptomatology associated with vaccination.

Epidemiologic Characteristics of and Prognostic Factors for COVID-19 Among Hospitalized Patients: Updated Implications From Hubei Province, China

Introduction: The roles of some indicators in the prognosis of patients with coronavirus disease-19 (COVID-19) remain unclear and controversial. This study aimed to explore the epidemiologic characteristics of and prognostic factors for COVID-19 to provide updated recommendations for its prevention, diagnosis, and treatment.

Methods: For this retrospective study, demographic, epidemiologic, and clinical data were extracted from the medical records of patients admitted to the Maternal and Child Hospital of Hubei Province (Optical Valley) with COVID-19 between February 19, 2020, and March 19, 2020. The primary outcome was the prognosis that was determined at discharge as mentioned in the medical records. Descriptive statistics, univariate analyses, and stepwise logistic regression analysis were used for data analysis.

Results: Of the 1,765 patients included, 93.1% were cured and the mortality was 1.8%. Univariate analyses identified 63 factors significantly associated with COVID-19 prognosis. Logistic regression analysis revealed that a poorer prognosis was associated with undergoing resuscitation, complex disease manifestations, consultation with outside specialists, elevated basophil or lymphocyte counts, an albumin (ALB)/globulin (A/G) ratio > 2.4, and elevated levels of serum aspartate aminotransferase (AST) or creatinine. Patients had a better prognosis if the following conditions were met: dry cough reported as an initial symptom, fatigue as a clinical manifestation, and a diagnosis based on laboratory testing.

Conclusion: To prevent clinical deterioration, clinicians should provide special care to patients who underwent resuscitation, with a critical disease, or requiring consultation with outside specialists. Extra attention should be paid to patients with high basophil or lymphocyte counts, a high A/G ratio, and elevated AST or creatinine levels.

Epidemiological Features and Predictors of Mortality in Patients with COVID-19 with and without Underlying Hypertension

BACKGROUNDS

Individuals with hypertension are at higher risk of COVID-19 infection and related mortality. This study was carried out to assess the epidemiological features and predictors of mortality in patients with COVID-19 with hypertension.

METHODS

In this retrospective study, the epidemiological characteristics of two groups of patients with COVID-19 with hypertension (1927) and without hypertension (39030) were compared. Chi-square test was applied to evaluate the differences between qualitative variables in two study groups. Logistic regression was also used to determine predictors of mortality in patients with COVID-19 and in patients with COVID-19 with hypertension.

RESULTS

The prevalence of hypertension in patients with COVID-19 was 4.7%, and 24.37% of COVID-19 related deaths occurred in these individuals. The average age of hypertension and nonhypertension patients was 61 and 37 years, respectively. Fever, cough, headache, anorexia, fatigue, and comorbid diseases, such as cardiovascular disease, chronic lung and kidney disease, diabetes, immunodeficiency disease, and thyroid disease, were significantly more frequent in people with hypertension than those without hypertension. The chances of mortality in patient with COVID-19 were 1.8 times higher in individuals with dyspnea, 1.25 in individuals with fever, 1.33 in individuals with cough, 3.6 in patients with hypertension, 2.21 in diabetics, and 2.2 in individuals with cardiovascular disease. Also, individuals with COVID-19 with hypertension that had dyspnea, immunodeficiency, and cardiovascular disease were at higher risk of mortality.

CONCLUSION

Hypertension is a serious threat to patients with COVID-19. Therefore, in order to control these patients more precisely and reduce mortality in them, it is extremely important to develop prevention and treatment strategies.

Nutritional behaviors of women and men in Poland during confinement related to the SARS-CoV-2 epidemic

The influence of the confinement on the changes of eating behaviors in men and women in Poland and between groups were assessed. Results were obtained for 112 men and 200 women. An anonymous questionnaire available on-line from 29 April to 19 May 2020 was the research tool. It contained questions about the frequency of consumption "before" and "during" confinement. Additionally, anthropometric measurements were declared by the respondents. An increase in the number of meals and an improvement in their regularity were observed in both groups. However, the frequency of snacking also increased. During lockdown women consumed potatoes, sweets, canned meat and eggs and men consumed canned meat more frequently. Products consumed less frequently were: fast food, instant soups and energy drinks (women), and white bread and fast food (men). The frequency of alcohol consumption also increased during lockdown. Average body weight and BMI increased significantly during social isolation. Body weight increase was declared by almost half of women and 40% of men. During the blockade period caused by the COVID-19 pandemic, changes in the dietary behavior of the study group of women and men were found. The nature of these changes varied according to gender and the dietary parameters analyzed.

Risk factors for invasive aspergillosis in ICU patients with COVID-19: current insights and new key elements

Invasive pulmonary aspergillosis (IPA) has always been a challenging diagnosis and risk factors an important guide to investigate specific population, especially in Intensive Care Unit. Traditionally recognized risk factors for IPA have been haematological diseases or condition associated with severe immunosuppression, lately completed by chronic conditions (such as obstructive pulmonary disease, liver cirrhosis, chronic kidney disease and diabetes), influenza infection and Intensive Care Unit (ICU) admission. Recently, a new association with SARS-CoV2 infection, named COVID-19-associated pulmonary aspergillosis (CAPA), has been reported worldwide, even if its basic epidemiological characteristics have not been completely established yet. In this narrative review, we aimed to explore the potential risk factors for the development of CAPA and to evaluate whether previous host factors or therapeutic approaches used in the treatment of COVID-19 critically ill patients (such as mechanical ventilation, intensive care management, corticosteroids, broad-spectrum antibiotics, immunomodulatory agents) may impact this new diagnostic category. Reviewing all English-language articles published from December 2019 to December 2020, we identified 21 papers describing risk factors, concerning host comorbidities, ICU management, and COVID-19 therapies. Although limited by the quality of the available literature, data seem to confirm the role of previous host risk factors, especially respiratory diseases. However, the attention is shifting from patients' related risk factors to factors characterizing the hospital and intensive care course, deeply influenced by specific features of COVID treatment itself. Prolonged invasive or non-invasive respiratory support, as well as the impact of corticosteroids and/or immunobiological therapies seem to play a pivotal role. ICU setting related factors, such as environmental factors, isolation conditions, ventilation systems, building renovation works, and temporal spread with respect to pandemic waves, need to be considered. Large, prospective studies based on new risk factors specific for CAPA are warranted to guide surveillance and decision of when and how to treat this particular population.

Risk Factors for SARS-CoV-2 Infection Severity in Abu Dhabi

Background

Prediction models are essential for informing screening, assessing prognosis, and examining options for treatment. This study aimed to assess the risk of SARS-CoV-2 infection severity in the Abu Dhabi population.

Methods

This is a mixed retrospective cohort study and case–control study to explore the associated factors of receiving treatment in the community, being hospitalized, or requiring complex hospital care among patients with a diagnosis of SARS-CoV-2. Of 641 patients included, 266 were hospitalized; 135 were hospitalized and either died or required complex care, i.e., required ICU admission, intubation, or oxygen and 131 did not develop severe disease requiring complex care. The third group (“controls”) were 375 patients who were not hospitalized. Logistic regression analyses were used to study predictors of disease severity.

Results

Among hospitalized patients older age and low oxygen saturation at admission were the consistent and strongest predictors of an adverse outcome. Risk factors for the death in addition to age and low oxygen saturation were elevated white blood count and low reported physical activity. Chronic kidney disease and diabetes were also associated with more severe disease in logistic regression. The mortality rate among those with less than 30 min per week of physical activity was 4.9%, while the mortality rate was 0.35% for those with physical activity > 30 min at least once a week. The interval from the onset of symptoms to admission and mortality was found to have a significant inverse relationship, with worse survival for shorter intervals.

Conclusion

Oxygen saturation is an important measure that should be introduced at screening sites and used in the risk assessment of patients with SARS-CoV-2. In addition, an older age was a consistent factor in all adverse outcomes, and other factors, such as low physical activity, elevated WBC, CKD, and DM, were also identified as risk factors.

Can we predict the severe course of COVID-19 - a systematic review and meta-analysis of indicators of clinical outcome?

BACKGROUND

COVID-19 has been reported in over 40million people globally with variable clinical outcomes. In this systematic review and meta-analysis, we assessed demographic, laboratory and clinical indicators as predictors for severe courses of COVID-19.

METHODS

This systematic review was registered at PROSPERO under CRD42020177154. We systematically searched multiple databases (PubMed, Web of Science Core Collection, MedRvix and bioRvix) for publications from December 2019 to May 31st 2020. Random-effects meta-analyses were used to calculate pooled odds ratios and differences of medians between (1) patients admitted to ICU versus non-ICU patients and (2) patients who died versus those who survived. We adapted an existing Cochrane risk-of-bias assessment tool for outcome studies.

RESULTS

Of 6,702 unique citations, we included 88 articles with 69,762 patients. There was concern for bias across all articles included. Age was strongly associated with mortality with a difference of medians (DoM) of 13.15 years (95% confidence interval (CI) 11.37 to 14.94) between those who died and those who survived. We found a clinically relevant difference between non-survivors and survivors for C-reactive protein (CRP; DoM 69.10 mg/L, CI 50.43 to 87.77), lactate dehydrogenase (LDH; DoM 189.49 U/L, CI 155.00 to 223.98), cardiac troponin I (cTnI; DoM 21.88 pg/mL, CI 9.78 to 33.99) and D-Dimer (DoM 1.29mg/L, CI 0.9 to 1.69). Furthermore, cerebrovascular disease was the co-morbidity most strongly associated with mortality (Odds Ratio 3.45, CI 2.42 to 4.91) and ICU admission (Odds Ratio 5.88, CI 2.35 to 14.73).

DISCUSSION

This comprehensive meta-analysis found age, cerebrovascular disease, CRP, LDH and cTnI to be the most important risk-factors that predict severe COVID-19 outcomes and will inform clinical scores to support early decision-making.

Incidence and Mortality Associated with Cardiovascular Medication among Hypertensive COVID-19 Patients in South Korea

PURPOSE

We aimed to investigate whether the use of cardiovascular drugs in coronavirus disease 2019 (COVID-19) patients with hypertension as a comorbidity has a significant effect on the incidence and associated mortality rate of COVID-19.

MATERIALS AND METHODS

Data covering the period between January 1, 2020 and June 4, 2020 were extracted from The National Health Insurance Service-COVID-19 (NHIS-COVID-19) database in South Korea and analyzed as a population-based cohort study.

RESULTS

A total of 101657 hypertensive adults aged 20 years or older were included for final analysis. Among them, 1889 patients (1.9%) were diagnosed with COVID-19 between January 1, 2020 and June 4, 2020, and hospital mortality occurred in 193 patients (10.2%). In a multivariable model, the use of beta-blockers was associated with an 18% lower incidence of COVID-19 [odds ratio (OR): 0.82, 95% confidence interval (CI): 0.69-0.98; p=0.029]. Among 1889 hypertensive patients diagnosed with COVID-19, the use of a calcium channel blocker (CCB) was associated with a 42% lower hospital mortality rate (OR: 0.58, 95% CI: 0.38-0.89; p=0.012). The use of other cardiovascular drugs was not associated with the incidence of COVID-19 or hospital mortality rate among COVID-19 patients. Similar results were observed in all 328374 adults in the NHIS-COVID-19 database, irrespective of the presence of hypertension.

CONCLUSION

In South Korea, beta-blockers exhibited potential benefits in lowering the incidence of COVID-19 among hypertensive patients. Furthermore, CCBs may lower the hospital mortality rate among hypertensive COVID-19 patients. These findings were also applied to the general adult population, regardless of hypertension.

Comparison of losartan and amlodipine effects on the outcomes of patient with COVID-19 and primary hypertension: A randomised clinical trial

BACKGROUND

Controversy exists regarding the drug selection in hypertension (HTN) management in patients with COVID-19. This study aimed to compare the effects of losartan and amlodipine in patients with primary HTN and COVID-19.

METHODS

In this randomised clinical trial, hospitalised patients with COVID-19 and primary HTN were enrolled in the study. One arm received losartan, 25 mg, twice a day and the other arm received amlodipine, 5 mg per day for 2 weeks. The main outcomes were compare 30-day mortality rate and length of hospital stay.

RESULTS

The mean age of patients treated with losartan (N = 41) and amlodipine (N = 39) was 67.3 ± 14.8 and 60.1 ± 17.3 years, respectively (P value = .068). The length of hospital stay in losartan and amlodipine groups was 4.57 ± 2.59 and 7.30 ± 8.70 days, respectively (P value = .085). Also, the length of ICU admission in losartan and amlodipine group was 7.13 ± 5.99 and 7.15 ± 9.95 days, respectively (P value = .994). The 30-day mortality was two and five patients in losartan and amlodipine groups, respectively (P value = .241).

CONCLUSIONS

There was no priority in losartan or amlodipine administration in COVID-19 patients with primary HTN in decreasing mortality rate, hospital and ICU length stay. Further studies need to clarify the first-line anti-HTN medications in COVID-19.

Angiotensin-converting enzyme 2 receptors, chronic liver diseases, common medications, and clinical outcomes in coronavirus disease 2019 patients

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for coronavirus disease 2019 (COVID-19), enters affected cells through the angiotensin-converting enzyme 2 (ACE2) receptor, which is highly expressed in type II alveolar cells, enterocytes, and cholangiocytes. SARS-CoV-2 infection causes fever, dry cough, and breathing difficulty, which can progress to respiratory distress due to interstitial pneumonia, and hepatobiliary injury due to COVID-19 is increasingly recognized. The hepatobiliary injury may be evident at presentation of the disease or develop during the disease progression. The development of more severe clinical outcomes in patients with chronic liver diseases (CLD) with or without cirrhosis infected with SARS-CoV-2 has not been elucidated. Moreover, there is limited data related to common medications that affect the disease severity of COVID-19 patients. Additionally, ACE2 receptor expression of hepatobiliary tissue related to the disease severity also have not been clarified. This review summarized the current situation regarding the clinical outcomes of COVID-19 patients with chronic liver diseases who were treated with common medications. Furthermore, the association between ACE2 receptor expression and disease severity in these patients is discussed.

Covichem: A biochemical severity risk score of COVID-19 upon hospital admission

Clinical and laboratory predictors of COVID-19 severity are now well described and combined to propose mortality or severity scores. However, they all necessitate saturable equipment such as scanners, or procedures difficult to implement such as blood gas measures. To provide an easy and fast COVID-19 severity risk score upon hospital admission, and keeping in mind the above limits, we sought for a scoring system needing limited invasive data such as a simple blood test and co-morbidity assessment by anamnesis. A retrospective study of 303 patients (203 from Bordeaux University hospital and an external independent cohort of 100 patients from Paris Pitié-Salpêtrière hospital) collected clinical and biochemical parameters at admission. Using stepwise model selection by Akaike Information Criterion (AIC), we built the severity score Covichem. Among 26 tested variables, 7: obesity, cardiovascular conditions, plasma sodium, albumin, ferritin, LDH and CK were the independent predictors of severity used in Covichem (accuracy 0.87, AUROC 0.91). Accuracy was 0.92 in the external validation cohort (89% sensitivity and 95% specificity). Covichem score could be useful as a rapid, costless and easy to implement severity assessment tool during acute COVID-19 pandemic waves.

Effect of Discontinuing vs Continuing Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers on Days Alive and Out of the Hospital in Patients Admitted With COVID-19: A Randomized Clinical Trial

Importance

It is unknown whether angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs) have a positive, neutral, or negative effect on clinical outcomes in patients with coronavirus disease 2019 (COVID-19).

Objective

To determine whether discontinuation compared with continuation of ACEIs or ARBs changed the number of days alive and out of the hospital through 30 days.

Design, Setting, and Participants

A randomized clinical trial of 659 patients hospitalized in Brazil with mild to moderate COVID-19 who were taking ACEIs or ARBs prior to hospitalization (enrolled: April 9-June 26, 2020; final follow-up: July 26, 2020).

Interventions

Discontinuation (n = 334) or continuation (n = 325) of ACEIs or ARBs.

Main Outcomes and Measures

The primary outcome was the number of days alive and out of the hospital through 30 days. Secondary outcomes included death, cardiovascular death, and COVID-19 progression.

Results

Among 659 patients, the median age was 55.1 years (interquartile range [IQR], 46.1-65.0 years), 14.7% were aged 70 years or older, 40.4% were women, and 100% completed the trial. The median time from symptom onset to hospital admission was 6 days (IQR, 4-9 days) and 27.2% of patients had an oxygen saturation of less than 94% of room air at baseline. In terms of clinical severity, 57.1% of patients were considered mild at hospital admission and 42.9% were considered moderate. There was no significant difference in the number of days alive and out of the hospital in patients in the discontinuation group (mean, 21.9 days [SD, 8 days]) vs patients in the continuation group (mean, 22.9 days [SD, 7.1 days]) and the mean ratio was 0.95 (95% CI, 0.90-1.01). There also was no statistically significant difference in death (2.7% for the discontinuation group vs 2.8% for the continuation group; odds ratio [OR], 0.97 [95% CI, 0.38-2.52]), cardiovascular death (0.6% vs 0.3%, respectively; OR, 1.95 [95% CI, 0.19-42.12]), or COVID-19 progression (38.3% vs 32.3%; OR, 1.30 [95% CI, 0.95-1.80]). The most common adverse events were respiratory failure requiring invasive mechanical ventilation (9.6% in the discontinuation group vs 7.7% in the continuation group), shock requiring vasopressors (8.4% vs 7.1%, respectively), acute myocardial infarction (7.5% vs 4.6%), new or worsening heart failure (4.2% vs 4.9%), and acute kidney failure requiring hemodialysis (3.3% vs 2.8%).

Conclusions and Relevance

Among patients hospitalized with mild to moderate COVID-19 and who were taking ACEIs or ARBs before hospital admission, there was no significant difference in the mean number of days alive and out of the hospital for those assigned to discontinue vs continue these medications. These findings do not support routinely discontinuing ACEIs or ARBs among patients hospitalized with mild to moderate COVID-19 if there is an indication for treatment.

Trial Registration

ClinicalTrials.gov Identifier: NCT04364893.

COVID-19 hospitalizations in Brazil's Unified Health System (SUS)

Objective

To study the profile of hospitalizations due to COVID-19 in the Unified Health System (SUS) in Brazil and to identify factors associated with in-hospital mortality related to the disease.

Methods

Cross-sectional study, based on secondary data on COVID-19 hospitalizations that occurred in the SUS between late February through June. Patients aged 18 years or older with primary or secondary diagnoses indicative of COVID-19 were included. Bivariate analyses were performed and generalized linear mixed models (GLMM) were estimated with random effects intercept. The modeling followed three steps, including: attributes of the patients; elements of the care process; and characteristics of the hospital and place of hospitalization.

Results

89,405 hospitalizations were observed, of which 24.4% resulted in death. COVID-19 patients hospitalized in the SUS were predominantly male (56.5%) with a mean age of 58.9 years. The length of stay ranged from less than 24 hours to 114 days, with a mean of 6.9 (±6.5) days. Of the total number of hospitalizations, 22.6% reported ICU use. The odds on in-hospital death were 16.8% higher among men than among women and increased with age. Black individuals had a higher likelihood of death. The behavior of the Charlson and Elixhauser indices was consistent with the hypothesis of a higher risk of death among patients with comorbidities, and obesity had an independent effect on increasing this risk. Some states, such as Amazonas and Rio de Janeiro, had a higher risk of in-hospital death from COVID-19. The odds on in-hospital death were 72.1% higher in municipalities with at least 100,000 inhabitants, though being hospitalized in the municipality of residence was a protective factor.

Conclusion

There was broad variation in COVID-19 in-hospital mortality in the SUS, associated with demographic and clinical factors, social inequality, and differences in the structure of services and quality of health care.

Clinical characteristics and risk factors for severity of COVID-19 outside Wuhan: a double-center retrospective cohort study of 213 cases in Hunan, China

Aim:

To investigate clinical characteristics and identify risk factors for severity of coronavirus disease 2019 (COVID-19) pneumonia outside of Wuhan, China.

Materials and methods:

We included 213 patients with confirmed COVID-19 who had been discharged or died by 15 March 2020. We retrospectively collected epidemiological, clinical, laboratory, computed tomography imaging and outcome data. Clinical characteristics were described and relative risk factors were compared.

Results:

Most clinical characteristics of this study were similar to those from studies in Wuhan, but there were lower mortality rate and milder severity. The median time from onset of symptoms to confirmation and hospitalization was 4 and 5 days, respectively. The median virus clearance and shedding times were 10 and 15 days, respectively. When the severe/critical group was compared with the mild/moderate group, significant risk factors included: older age; dyspnea; hypertension; poor appetite; fatigue; higher white cell count, neutrophil count, prothrombin time, creatine kinase, creatine kinase-MB, D-dimer, alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH) and C-reactive protein; and lower lymphocyte count and albumin (p < 0.05). In the intensive care unit (ICU) group compared with the non-ICU group, risk factors included: older age; chronic obstructive pulmonary disease (COPD); dyspnea; poor appetite; higher white cell count, D-dimer, ALT, AST and LDH; and lower lymphocyte count and albumin (p < 0.05). Independent risk factors associated with the severe/critical group were dyspnea [odds ratio (OR) = 19.48], ALT (OR = 6.02) and albumin (OR = 3.36). Independent risk factors associated with the ICU group were dyspnea (OR = 8.88), COPD (OR = 31.80), D-dimer (OR = 8.37), ALT (OR = 28.76) and LDH (OR = 9.95) (p < 0.05).

Conclusion:

The severity of COVID-19 outside Wuhan, China was milder than that within Wuhan. The clinical infective period was long, and the longest virus shedding time was 35 days. The most important risk factors were dyspnea, COPD, D-dimer, ALT, LDH and albumin.

The reviews of this paper are available via the supplemental material section.

Can we predict the severe course of COVID-19 - a systematic review and meta-analysis of indicators of clinical outcome?

Background

COVID-19 has been reported in over 40million people globally with variable clinical outcomes. In this systematic review and meta-analysis, we assessed demographic, laboratory and clinical indicators as predictors for severe courses of COVID-19.

Methods

We systematically searched multiple databases (PubMed, Web of Science Core Collection, MedRvix and bioRvix) for publications from December 2019 to May 31st 2020. Random-effects meta-analyses were used to calculate pooled odds ratios and differences of medians between (1) patients admitted to ICU versus non-ICU patients and (2) patients who died versus those who survived. We adapted an existing Cochrane risk-of-bias assessment tool for outcome studies.

Results

Of 6,702 unique citations, we included 88 articles with 69,762 patients. There was concern for bias across all articles included. Age was strongly associated with mortality with a difference of medians (DoM) of 13.15 years (95% confidence interval (CI) 11.37 to 14.94) between those who died and those who survived. We found a clinically relevant difference between non-survivors and survivors for C-reactive protein (CRP; DoM 69.10, CI 50.43 to 87.77), lactate dehydrogenase (LDH; DoM 189.49, CI 155.00 to 223.98), cardiac troponin I (cTnI; DoM 21.88, CI 9.78 to 33.99) and D-Dimer (DoM 1.29mg/L, CI 0.9 - 1.69). Furthermore, cerebrovascular disease was the co-morbidity most strongly associated with mortality (Odds Ratio 3.45, CI 2.42 to 4.91) and ICU admission (Odds Ratio 5.88, CI 2.35 to 14.73).

Discussion

This comprehensive meta-analysis found age, cerebrovascular disease, CRP, LDH and cTnI to be the most important risk-factors in predicting severe COVID-19 outcomes and will inform decision analytical tools to support clinical decision-making.

Clinical Characteristics and Survival Analysis in a Small Sample of Older COVID-19 Patients with Defined 60-Day Outcome

The older population is one of the most vulnerable to experience adverse outcomes of COVID-19. Exploring different clinical features that may act as detrimental to this population’s survival is pivotal for recognizing the highest risk individuals for poor outcome. We thus aimed to characterize the clinical differences between 60-day survivors and non-survivors, as well as analyze variables influencing survival in the first older adults hospitalized in Poznan, Poland, with COVID-19. Symptoms, comorbidities, complications, laboratory results, and functional capacity regarding the first 50 older patients (≥60 years) hospitalized due to COVID-19 were retrospectively studied. Functional status before admission (dependent/independent) was determined based on medical history. The 60-day survivors (n = 30/50) and non-survivors (n = 20/50) were compared across clinical parameters. The patients had a mean age of 74.8 ± 9.4 years. Overall, 20/50 patients died during hospitalization, with no further fatal outcomes reported during the 60-day period. The non-survivors were on average older (78.3 ± 9.7 years), more commonly experienced concurrent heart disease (75%), and displayed functional dependence (65%) (p < 0.05). When assessing the variables influencing survival (age, heart disease, and functional dependence), using a multivariate proportional hazards regression, functional dependence (requiring assistance in core activities of daily living) was the main factor affecting 60-day survival (HR, 3.34; 95% CI: 1.29–8.63; p = 0.01). In our study, functional dependence was the most important prognostic factor associated with mortality. Elderly with COVID-19 who required assistance in core activities of daily living prior to hospitalization had a three times increased risk to experience mortality, as compared to those with complete independence. Exploring geriatric approaches, such as assessment of functional capacity, may assist in constructing comprehensive survival prognosis in the elderly COVID-19 population.

COVID-19 Triage and Test Center: Safety, Feasibility, and Outcomes of Low-Threshold Testing

This prospective observational study evaluated the safety and feasibility of a low threshold testing process in a Triage and Test Center (TTC) during the early course of the coronavirus disease 19 (COVID-19) pandemic. In addition, we aimed to identify clinical predictors for a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) swab result. Patients underwent informal triage, standardized history taking, and physician evaluation, only where indicated. Patients were observed for 30 days. Safety was the primary outcome and was defined as a COVID-19-related 30 day re-presentation rate <5% and mortality rate <1% in patients presenting to the TTC. Feasibility was defined as an overruling of informal triage <5%. Among 4815 presentations, 572 (11.9%) were tested positive for SARS-CoV-2, and 4774 were discharged. Mortality at 30-days was 0.04% (2 patients, one of which related to COVID-19). Fever (OR 2.03 [95% CI 1.70;2.42]), myalgia (OR 1.94 [1.63;2.31]), chills (OR 1.77 [1.44;2.16]), headache (OR 1.61 [1.34;1.94]), cough (OR 1.50 [1.24;1.83]), weakness (OR 1.46 [1.21;1.76]), and confusion (OR 1.39 [1.06;1.80]) were associated with test positivity. Re-presentation rate was 8% overall and 1.4% in COVID-19 related re-presentation (69 of 4774). The overruling rate of informal triage was 1.5%. According to our study, a low-threshold testing process in a TTC appeared to be safe (low re-presentation and low mortality) and is feasible (low overruling of informal triage). A COVID-19 diagnosis based on clinical parameters only does not appear possible.