Clinical course and outcome of 107 patients infected with the novel coronavirus, SARS-CoV-2, discharged from two hospitals in Wuhan, China

COVID-19 vaccines: Immune correlates and clinical outcomes

Severe disease due to COVID-19 has declined dramatically as a result of widespread vaccination and natural immunity in the population. With the emergence of SARS-CoV-2 variants that largely escape vaccine-elicited neutralizing antibody responses, the efficacy of the original vaccines has waned and has required vaccine updating and boosting. Nevertheless, hospitalizations and deaths due to COVID-19 have remained low. In this review, we summarize current knowledge of immune responses that contribute to population immunity and the mechanisms how vaccines attenuate COVID-19 disease severity.

Serum TGF-β as a predictive biomarker for severe disease and fatality of COVID-19

For targeted intervention in coronavirus disease 2019 (COVID-19), there is a high medical need for biomarkers that predict disease progression and severity in the first days after symptom onset. This study assessed the utility of early transforming growth factor β (TGF-β) serum levels in COVID-19 patients to predict disease severity, fatality, and response to dexamethasone therapy. Patients with severe COVID-19 had significantly higher TGF-β levels (416 pg/mL) as compared to patients with mild (165 pg/mL, p < 0.0001) or moderate COVID-19 (241 pg/mL; p < 0.0001). Receiver operating characteristics area under the curve values were 0.92 (95% confidence interval [CI] 0.85-0.99, cut-off: 255 pg/mL) for mild versus severe COVID-19, and 0.83 (95% CI 0.65-1.0, cut-off: 202 pg/mL) for moderate versus severe COVID-19. Patients who died of severe COVID-19 had significantly higher TGF-β levels (453 pg/mL) as compared to convalescent patients (344 pg/mL), and TGF-β levels predicted fatality (area under the curve: 0.75, 95% CI 0.53-0.96). TGF-β was significantly reduced in severely ill patients treated with dexamethasone (301 pg/mL) as compared to untreated patients (416 pg/mL; p < 0.05). Early TGF-β serum levels in COVID-19 patients predict, with high accuracy, disease severity, and fatality. In addition, TGF-β serves as a specific biomarker to assess response to dexamethasone treatment.

Clinical outcomes of COVID-19 in patients with chronic diseases

OBJECTIVE

This study was carried out to evaluate the clinical outcomes of patients having chronic diseases (CD) and COVID-19 infection.

METHODS

The study was carried out retrospectively by including 1.516 patients with CDs who applied to two education and research hospitals between June 01, 2021, and August 01, 2021, and were diagnosed with COVID-19. As CDs; cardiovascular diseases, diabetes mellitus (DM), hyperlipidemia, asthma, chronic obstructive pulmonary diseases, rheumatological diseases, malignancy, cerebrovascular disease, and chronic kidney diseases (CKD) were screened and evaluated statistically.

RESULTS

A total of 1.516 patients with a mean age of 58.05±18.51 years were included in the study. It has been observed that 68.9% of COVID-19 patients have at least one CD. Women were more tend to have CDs than men (73.8% vs. 64.8%). Patients with a history of CD were significantly older and had a longer hospital stay than those without. Patients with CDs were 5.49 times more likely to be hospitalized in the intensive care unit (ICU) and their death rate was 2.52 times higher than the other patients. After the regression analysis, while hypertension (HT) (Odds Ratio [OR]: 2.39), DM (OR: 3.64), and any type of cancer (OR: 2.75) were seen as independent risk factors in hospitalizations in the ICU, cardiovascular diseases (OR: 2.27), CKD (OR: 3.69) and psychiatric disorders (OR: 2.18) were seen as independent risk factors associated with mortality.

CONCLUSION

The follow-up of COVID-19 patients with CDs should be done more cautiously than others. It should be kept in mind that patients with HT, DM, and cancer may need intensive care at any time of hospitalization, while those with cerebrovascular disease, CKD, and psychiatric problems may have a higher mortality rate than other patients.

Prevalence of antibiotics prescription amongst patients with and without COVID-19 in low- and middle-income countries: a systematic review and meta-analysis

Antimicrobial resistance (AMR) poses a substantial risk to public health. In low-income and middle-income (LMICs) nations, the impact of AMR is significantly more severe. The absence of data from low-income countries (LMICs) causes this topic to be frequently overlooked. Additionally, the COVID-19 pandemic could make the AMR issue even worse. Earlier guidelines recommended antibiotic use in patients with COVID-19, even in those without bacterial coinfection. This study aims to investigate the proportion of antibiotic prescriptions in LMICs among patients with and without coronavirus disease-2019 (COVID-19), the proportion of inappropriate antibiotics, and multi-antibiotic prescribing. We followed the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA). We retrieved data through online databases, including PubMed, Scopus, and ScienceDirect. Amongst COVID-19 patients, the meta-analytic estimate of antibiotic prescription was 0.80 (95% CI: 0.72-0.88), whereas antibiotic use among patients with non-COVID-19 infections was 0.54 (95% CI: 0.49-0.58). Half of those prescribed antibiotics (0.52, 95% CI: 0.32-0.72) are inappropriate prescriptions. In addition, we found that one-third of antibiotics prescriptions consisted of more than one antibiotic (0.32, 95% CI: 0.21-0.43). In conclusion, antibiotics are highly prescribed across LMICs, and their use is increased in patients with COVID-19. Amongst those prescriptions, inappropriate and multiple use was not uncommon. This study has several limitations, as it included two studies in an ambulatory setting, and some of the studies included in the analysis were conducted on a small scale. Nevertheless, our findings suggest that urgent action to improve prescribing practices is essential.

An in-depth appraisal of clinico-biochemical and radiological findings of COVID-19 patients during the COVID-19 pandemic in a dedicated COVID Care Hospital in Eastern India and its outcome in relation to the COVAXIN vaccination status: A 2-year study

Introduction

COVID-19 pandemic hit Odisha province from April 2020 to December 2020, then from April 2021 to August 2021 and from February 2022 to April 2022 as the first, second, and third waves, respectively, with the most severe form witnessed during the second wave. Kalinga Institute of Medical Sciences hospital in Odisha was declared a Dedicated COVID Hospital (DCH) during those three waves and witnessed 9485 cases of admissions among which there were 1214 deaths. COVAXIN vaccination of the vulnerable population was launched in February 2021 onwards. This study has been done to know the clinic-biochemical profiles, radiologic findings of COVID-19 admitted patients, the predictors of mortality in the second wave, and clinical outcomes in the three waves in relation to COVAXIN vaccination status.

Material and Methods

This was a serial three-round retrospective study from the electronic medical records using multistage random sampling where we collected and critically analyzed the demographic, and all the relevant possible health data of the cases that consist of 514 cases admitted in three waves. The data from death certificates among the 555 cases in the second wave have been analyzed to conclude predictors of mortality.

Results

Mortality increased with age, male gender, comorbidities, and raised C-reactive protein level. High NL ratio, extent of pulmonary involvement. There was a wide variation in incidence and spectrum of illness starting from 79% incidence of mild symptomatic in the initial and third wave, but remained in the range of 35-65% in the second wave, respectively, and the most noticeable symptomatic illness was that of the upper respiratory tract. In fulminant cases, the mode of presentations was severe pneumonia and acute respiratory distress syndrome. Males were more sufferers than females. Children had better outcomes compared to adults. COVID-associated coagulopathy had a normal platelet count. Subsequently, in 2021 year onwards vaccination of the vulnerable population was launched in a phased manner that changed the dynamics of the disease outcome by better survival chances despite intercurrent COVID infection by induction of herd immunity. On the contrary, there was a higher prevalence of serious illness among non-vaccinated individuals. While the cases continued during the second wave of the pandemic, long COVID became a clinical entity of symptomatic that persisted or recurred among the COVID illness recovered cases after reverse transcriptase polymerase chain reaction results for COVID-19 became negative. The symptoms consisted of fatigue, cough, dyspnea as pulmonary manifestations and extra-pulmonary involvement of the cardiac, renal, and central nervous systems and the pulmonary imaging features consisted of interstitial pneumonia, consolidation, cavity pattern, and prone to microbial infection. These events lead to morbidity and admission. Coinciding with the vaccination of all population of Odisha province with the first dose of the vaccine by around the period of the first quarter of 2022, there was a new variant named Omicron responsible in the third wave, in which the majority of the admitted cases had.mild upper respiratory illness. This was not as lethal as its predecessors due to its lower propensity to invade the lungs and blood vessels.

Conclusion

Immune dysregulation plays a central role in the pathogenesis of the manifestations. Vaccine-induced protection and the induction of herd immunity played a proactive role in the waning of the severity of clinical presentations.

Healthcare-Associated Bloodstream Infections Due to Multidrug-Resistant Acinetobacter baumannii in COVID-19 Intensive Care Unit: A Single-Center Retrospective Study

Healthcare-associated infections are an emerging cause of morbidity and mortality in COVID-19 intensive care units (ICUs) worldwide, especially those caused by multidrug-resistant (MDR) pathogens. The objectives of this study were to assess the incidence of bloodstream infections (BSIs) among critically ill COVID-19 patients and to analyze the characteristics of healthcare-associated BSIs due to MDR Acinetobacter baumannii in an COVID-19 ICU. A single-center retrospective study was conducted at a tertiary hospital during a 5-month period. The detection of carbapenemase genes was performed by PCR and genetic relatedness by pulsed-field gel electrophoresis (PFGE) and multilocus-sequence typing. A total of 193 episodes were registered in 176 COVID-19 ICU patients, with an incidence of 25/1000 patient-days at risk. A. baumannii was the most common etiological agent (40.3%), with a resistance to carbapenems of 100%. The blaOXA-23 gene was detected in ST2 isolates while the blaOXA-24 was ST636-specific. PFGE revealed a homogeneous genetic background of the isolates. The clonal spread of OXA-23-positive A. baumannii is responsible for the high prevalence of MDR A. baumannii BSIs in our COVID-19 ICU. Further surveillance of resistance trends and mechanisms is needed along with changes in behavior to improve the implementation of infection control and the rational use of antibiotics.

Outcomes of COVID-19 patients with acute kidney injury and longitudinal analysis of laboratory markers during the hospital stay: A multi-center retrospective cohort experience from Pakistan

The frequency of acute kidney injury (AKI) in COVID-19 patients can be varied and related to worse outcomes in the disease population. AKI is common among hospitalized patients with COVID-19, particularly the ones needing critical care. This study was conducted in order to determine the outcomes of hospitalized patients with prolonged hospital stays who suffered from COVID-19 associated AKI. It was conducted as a multi-centered, retrospective, cohort study, and including all patients who were diagnosed on COVID-19 PCR. End-stage renal disease patients on hemodialysis were excluded. The cohort included 1069 patients, with 68% males, mean age of 56.21 years, and majority within 50 to 75 years age group (60%). Mean disease onset was 14.43 ± 7.44 days and hospital stay was 7.01 ± 5.78 days. About 62% of patients stayed in intensive care and 18% of them were on invasive ventilation. The mortality rate was 27%. Frequency of AKI was 42%, around 14% of them were resolving during hospital stay and other 28% worsened. The mortality rate was significantly higher with AKI (OR: 4.7, P < .001). Alongside AKI, concomitant liver dysfunction was also significantly contributing to mortality (OR: 2.5), apart from ICU stay (OR: 2.9), invasive ventilation (OR: 9.2), and renal replacement therapy (OR: 2.4). Certain laboratory markers were associated with AKI throughout in-hospital stay.

COVID-19: A state of art on immunological responses, mutations, and treatment modalities in riposte

Over the last few years, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) unleashed a global public health catastrophe that had a substantial influence on human physical and mental health, the global economy, and socio-political dynamics. SARS-CoV-2 is a respiratory pathogen and the cause of ongoing COVID-19 pandemic, which testified how unprepared humans are for pandemics. Scientists and policymakers continue to face challenges in developing ideal therapeutic agents and vaccines, while at the same time deciphering the pathology and immunology of SARS-CoV-2. Challenges in the early part of the pandemic included the rapid development of diagnostic assays, vaccines, and therapeutic agents. The ongoing transmission of COVID-19 is coupled with the emergence of viral variants that differ in their transmission efficiency, virulence, and vaccine susceptibility, thus complicating the spread of the pandemic. Our understanding of how the human immune system responds to these viruses as well as the patient groups (such as the elderly and immunocompromised individuals) who are often more susceptible to serious illness have both been aided by this epidemic. COVID-19 causes different symptoms to occur at different stages of infection, making it difficult to determine distinct treatment regimens employed for the various clinical phases of the disease. Unsurprisingly, determining the efficacy of currently available medications and developing novel therapeutic strategies have been a process of trial and error. The global scientific community collaborated to research and develop vaccines at a neck-breaking speed. This review summarises the overall picture of the COVID-19 pandemic, different mutations in SARS-CoV-2, immune response, and the treatment modalities against SARS-CoV-2.

Prevalence of Malaria and COVID-19 Infection in Akure North Local Government Area of Ondo State, Nigeria

Introduction

The prevalence of malaria and coronavirus disease (COVID-19) is highly devastating and has led to a serious public health challenge worldwide. In order to ensure proper control and elimination, the State Ministry of Health (MoH) Ondo State, Nigeria conducted medical examinations in Iju/Itaogbolu, Igoba, and Ogbese Health centers to identify and confirm cases of COVID-19 and malaria infection. This study provides the outcome of the epidemiological investigation of the prevalence of COVID-19 and malaria in Akure North Local Government Area of Ondo State, Nigeria.

Method

The study was a hospital-based secondary data analysis comprising of 11,389 and 682 individuals who visited various health centers in Akure North Local Government Area (LGA) for medical examinations on malaria and COVID-19, respectively. The COVID-19 cases were investigated using the fluid sample collected with a nasal swab or a throat swab, or spit of saliva into a tube and confirmed by real-time polymerase chain reaction (RT-PCR). The Plasmodium falciparum histidine-rich protein 2 (PfHRP2) RDT was employed to detect the P.falciparum antigen among participants' blood samples.

Results

The total prevalence of malaria and COVID-19 were 67.6% and 12.4%, respectively. Meanwhile, the month of September recorded the highest malaria prevalence of 81.8% while the month of April recorded the least malaria prevalence of 56.4%. Similarly, the highest case of COVID-19 (18.8%) was recorded in the month of November while the least case (2.4%) was recorded in the month of April (p < 0.05). The age range of 12-59 months had the highest malaria prevalence of 74.9% while 0-24 days age range recorded the least prevalence of 15.2% (p > 0.05). Apparently, the children were more infected with malaria parasites while adults were more infected with COVID-19.

Conclusion

Conclusively, malaria and COVID-19 infections were prevalent in the study area. Thus, the people should be enlightened on the deadly risk of malaria and COVID-19 through the health workers, social media, and the community leaders to ensure compliance with appropriate preventive measures.

Machine learning models for predicting severe COVID-19 outcomes in hospitals

The aim of this observational retrospective study is to improve early risk stratification of hospitalized Covid-19 patients by predicting in-hospital mortality, transfer to intensive care unit (ICU) and mechanical ventilation from electronic health record data of the first 24 h after admission. Our machine learning model predicts in-hospital mortality (AUC = 0.918), transfer to ICU (AUC = 0.821) and the need for mechanical ventilation (AUC = 0.654) from a few laboratory data of the first 24 h after admission. Models based on dichotomous features indicating whether a laboratory value exceeds or falls below a threshold perform nearly as good as models based on numerical features. We devise completely data-driven and interpretable machine-learning models for the prediction of in-hospital mortality, transfer to ICU and mechanical ventilation for hospitalized Covid-19 patients within 24 h after admission. Numerical values of. CRP and blood sugar and dichotomous indicators for increased partial thromboplastin time (PTT) and glutamic oxaloacetic transaminase (GOT) are amongst the best predictors.

Relationship between hair shedding and systemic inflammation in COVID-19 pneumonia

Background: A higher risk for COVID-19 infection and severity for men compared to women has been described since the beginning of the pandemic. The role of androgens has been recently highlighted as they control two key steps of coronavirus infection mediated through the transmembrane protease serin 2 (TMPRRS2) and the angiotensin-converting enzyme 2 (ACE2) receptor in the lung tissue. Furthermore, a high incidence of androgenic alopecia among males with COVID-19 disease have been reported.Objective: This study aims to evaluate the telogen effluvium (TE) prevalence and its relationship with clinical and immunologic parameters in a sample of patients consecutively evaluated after recovery from COVID-19 pneumonia in Northern Italy.Methods: Overall 104 patients were recruited within three months from COVID-19 pneumonia recovery; 80 (77%) had been hospitalized in a Respiratory Intensive Care Unit and the remaining ones had been treated at home. The extent of TE was assessed with a visual analogic scale for thick bundle of hairs. Demographic and clinical data and systemic inflammation biomarkers were also evaluated.Results. Thirty-two patients reported a history of TE and their mean TE-VAS score was 5.78 ± 1.72 (range 3-9). Women had about a 5-fold higher risk (odds) of complaining of TE compared to males (OR = 4.69, 95%CI: 1.91, 11.49; p = .001), and the association became stronger when adjusted for COVID-19 severity (hospital admission vs home care: OR = 6.09, 95%CI: 2.34, 15.88; p < .001). Levels of C-reactive protein >1.90 mg/l (OR_adj: 2.43, 95%CI 0.85, 7.05, p = 0.096) or IL 1β > 5 ng/l (OR_adj 4.72, 95%CI: 1.31, 23.19, p = .03) were also significantly associated with TE.Conclusion: This exploratory study raises the hypothesis that hair shedding is more strictly related to the severity of COVID-19 disease and the underlying inflammation rather than to patients' hormonal status. KEY MESSAGESThe presence of Telogen effluvium (TE) was significantly more common in women.Higher severity of the Covid-19 disease seems to play a critical role, more important than the hormonal influence, in the development of TE.The severity of inflammation related to TE and Covid-19 could also play a role as suggested by the higher levels of CRP and platelets and IL1β.

Determination of thermal comfort among nurses working with personal protective equipment in COVID-19 clinics

AIMS

This study aimed to determine thermal comfort among nurses working with personal protective equipment in COVID-19 clinic.

METHODS

In this study, a descriptive design was carried out between June and September 2020. Sample of the study consisted of 246 nurses (77.6%) who worked in the COVID-19 clinics with personal protective equipment. We used a questionnaire to determine thermal comfort of nurses; a follow-up form to determine the factors affecting thermal comfort; and the ASHRAE Thermal Sensation Scale. Four measurements and follow-ups were made three times.

RESULTS

More than half of nurses complained of ambient temperature and ventilation, one-third complained of humidity and nearly half complained of poor air quality. The mean thermal comfort score of nurses working in COVID-19 clinics was 1.19 (SD = 0.75). The thermal comfort of the nurses was negatively affected in all measurements except before wearing personal protective equipment. The highest scores were measured leaving the patient room and before removing personal protective equipment (M = 2.65, SD = 0.58).

CONCLUSION

The thermal comfort, work performance and stress levels of the nurses were negatively affected by working with personal protective equipment. This study reveals the necessity of improving the working conditions of nurses, including working hours, environment and personal protective equipment.

A Simple Non-Invasive Score Based on Baseline Parameters Can Predict Outcome in Patients with COVID-19

We evaluated the role of CRP and other laboratory parameters in predicting the worsening of clinical conditions during hospitalization, ICU admission, and fatal outcome among patients with COVID-19. Consecutive adult inpatients with SARS-CoV-2 infection and respiratory symptoms treated in three different COVID centres were enrolled, and they were tested for laboratory parameters within 48 h from admission. Three-hundred ninety patients were enrolled. Age, baseline CRP, and LDH were associated with a P/F ratio < 200 during hospitalization. Male gender and CRP > 60 mg/L were shown to be independently associated with ICU admission. Lymphocytes < 1000 cell/μL were associated with the worst P/F ratio. CRP > 60 mg/L predicted exitus. We subsequently devised an 11-points numeric ordinary scoring system based on age, sex, CRP, and LDH at admission (ASCL score). Patients with an ASCL score of 0 or 2 were shown to be protected against a P/F ratio < 200, while patients with an ASCL score of 6 to 8 were shown to be at risk for P/F ratio < 200. Patients with an ASCL score ≥ 7 had a significantly increased probability of death during hospitalization. In conclusion, patients with elevated CRP and LDH and an ASCL score > 6 at admission should be prioritized for careful respiratory function monitoring and early treatment to prevent a progression of the disease.

Iron Chelator or Iron Supplement Consumption in COVID-19? The Role of Iron with Severity Infection

Iron is a trace element that is used to replicate the virus and has a role in the vital functions of the body and the host's innate immune system. The mechanism of iron in COVID-19 severity is still not well understood. The aim of this study was to evaluate the association of the iron with COVID-19 severity. A case-control study was performed on 147 patients with a positive PCR test result and 39 normal individuals admitted to the Persian Gulf Martyrs Hospital in Bushehr, Iran. The iron profiles and related tests were measured along with hematological analytes. Hemoglobin (Hb), Fe, and saturated transferrin decreased in all the groups compared to the controls, but ferritin increased in the patient groups. After adjusting for age and sex, we found that increased ferritin levels augmented the odds ratio (OR) of the disease in the moderate (OR = 2.95, P = 0.007), severe (OR = 6.1, P < 0.001), and critical groups (OR = 8.34, P < 0.001). The decreased levels of Fe reduced the OR of the disease in the mild (OR = 0.96, P < 0.001), moderate (OR = 0.96, P < 0.001), severe (OR = 0.95, P < 0.001), and critical (OR = 0.98, P = 0.001) groups. Fe (AUC = 85.95, cutoff < 75.5 µg/dL, P < 0.001) and ferritin (AUC = 84.45, cutoff > 157.5 ng/dL, P < 0.001) have higher AUC for disease prognosis, but only ferritin (AUC = 74.89, cutoff > 261.5 ng/dL, P < 0.001) has higher AUC for disease severity assays. It could be concluded that the use of iron chelators to reduce iron intake can be considered a therapeutic goal. In addition, measuring Fe and ferritin is beneficial for the diagnosis of the disease and determining its severity.

Level of Dyspnoea in Patients with COVID-19 in Poland

OBJECTIVES

The study aimed to assess the level of dyspnoea during the COVID-19 pandemic in Poland.

METHODS

The online questionnaire was conducted among 204 Polish adult respondents with a positive SARS-CoV-2 test result. The level of dyspnoea was assessed by the modified Medical Research Council (MRC) Dyspnoea Scale in Polish.

RESULTS

Dyspnoea is most common in patients with severe COVID-19, and the prevalence of dyspnoea in the study population of patients with COVID-19 was low (34% respondents presented with dyspnoea with a score of 1 or higher).

CONCLUSIONS

There is a need for further investigation and close monitoring of the extent of dyspnoea in different social groups, especially in the event of a prolonged pandemic and the emergence of further waves of COVID-19.

Can Iron Play a Crucial Role in Maintaining Cardiovascular Health in the 21st Century?

In the 21st century the heart is facing more and more challenges so it should be brave and iron to meet these challenges. We are living in the era of the COVID-19 pandemic, population aging, prevalent obesity, diabetes and autoimmune diseases, environmental pollution, mass migrations and new potential pandemic threats. In our article we showed sophisticated and complex regulations of iron metabolism. We discussed the impact of iron metabolism on heart diseases, treatment of heart failure, diabetes and obesity. We faced the problems of constant stress, climate change, environmental pollution, migrations and epidemics and showed that iron is really essential for heart metabolism in the 21st century.

Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning

With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient resource management and distribution. Early-prediction scoring systems for critically ill patients using mathematical models are available, but are not generalized for COVID-19 and Non-COVID patients. This study aims to develop a generalized and reliable prognostic model for ICU admission for both COVID-19 and non-COVID-19 patients using best feature combination from the patient data at admission. A retrospective cohort study was conducted on a dataset collected from the pulmonology department of Moscow City State Hospital between 20 April 2020 and 5 June 2020. The dataset contains ten clinical features for 231 patients, of whom 100 patients were transferred to ICU and 131 were stable (non-ICU) patients. There were 156 COVID positive patients and 75 non-COVID patients. Different feature selection techniques were investigated, and a stacking machine learning model was proposed and compared with eight different classification algorithms to detect risk of need for ICU admission for both COVID-19 and non-COVID patients combined and COVID patients alone. C-reactive protein (CRP), chest computed tomography (CT), lung tissue affected (%), age, admission to hospital, and fibrinogen parameters at hospital admission were found to be important features for ICU-requirement risk prediction. The best performance was produced by the stacking approach, with weighted precision, sensitivity, F1-score, specificity, and overall accuracy of 84.45%, 84.48%, 83.64%, 84.47%, and 84.48%, respectively, for both types of patients, and 85.34%, 85.35%, 85.11%, 85.34%, and 85.35%, respectively, for COVID-19 patients only. The proposed work can help doctors to improve management through early prediction of the risk of need for ICU admission of patients during the COVID-19 pandemic, as the model can be used for both types of patients.

The role of electrolyte imbalances in predicting the severity of COVID-19 in the hospitalized patients: a cross-sectional study

Coronavirus disease 2019 (COVID-19) can be fatal in severe cases. Accordingly, predicting the severity and prognosis of the disease is valuable. This study examined the role of electrolyte imbalances in predicting the severity of COVID-19. In this cross-sectional study, 169 hospitalized patients with COVID-19 were included and categorized into three groups based on the severity of the disease (moderate, severe, and critical). Serum levels of electrolytes (calcium [Ca], phosphorus [P], sodium [Na], potassium [k], and magnesium [Mg]), inflammatory markers (D-dimer, C-reactive protein [CRP], ferritin, and lactate dehydrogenase [LDH]), and 25OHVitamin D were measured. The mean age of patients was 53 years, and 54% were male. They had moderate, severe, and critical illnesses in 22%, 47%, and 31%, respectively. CRP, D-dimer, and ferritin increased with the severity of the disease. The lower median values of Mg, Na, 25OHVitamin D, Ca, LDH, and higher median lymphocyte counts were observed in the moderate vs. the severe group (P < 0.05). These parameters have acceptable sensitivity and specificity at the suggested cut-off level to discriminate the moderate and critical cases. Serum parameters introduced in this study are appropriate for differentiating between critical and moderate cases. The electrolyte imbalance can predict critical patients.

I’ve looked at gut from both sides now: Gastrointestinal tract involvement in the pathogenesis of SARS-CoV-2 and HIV/SIV infections

The lumen of the gastrointestinal (GI) tract contains an incredibly diverse and extensive collection of microorganisms that can directly stimulate the immune system. There are significant data to demonstrate that the spatial localization of the microbiome can impact viral disease pathogenesis. Here we discuss recent studies that have investigated causes and consequences of GI tract pathologies in HIV, SIV, and SARS-CoV-2 infections with HIV and SIV initiating GI pathology from the basal side and SARS-CoV-2 from the luminal side. Both these infections result in alterations of the intestinal barrier, leading to microbial translocation, persistent inflammation, and T-cell immune activation. GI tract damage is one of the major contributors to multisystem inflammatory syndrome in SARS-CoV-2-infected individuals and to the incomplete immune restoration in HIV-infected subjects, even in those with robust viral control with antiretroviral therapy. While the causes of GI tract pathologies differ between these virus families, therapeutic interventions to reduce microbial translocation-induced inflammation and improve the integrity of the GI tract may improve the prognoses of infected individuals.

An Assessment of the Profile and Predictors of Outcomes in COVID-19 Patients Hospitalized in a Tertiary Care Institute in Central India

Background

Coronavirus disease 2019 (COVID-19) is the largest pandemic that has affected people around the globe. Various researches have been conducted worldwide, but there is a scarcity of data from Central India on the relationship between several risk factors for infection and mortality. Our study assessed the predictors and patient profiles of those with COVID-19, which will aid in prioritizing patient treatment and preventive measures.

Methods

A retrospective study was done between March and December 2020. The study included 5,552 COVID-19 patients admitted to the All India Institute of Medical Sciences (AIIMS), Raipur. A validated questionnaire form provided by the WHO was used. Data for multiple clinical and nonclinical parameters were collected, and analysis was done using SPSS version 26 (IBM Corp., Armonk, NY, USA) and STATA version 12 (StataCorp LLC, College Station, TX, USA). Mortality and risk assessment of patients was done using multivariate logistic regression.

Result

In our study cohort of 5,552 COVID-19 patients, the median age was found to be 47 years (interquartile range (IQR): 31-60 years; range: 14-100 years), and 3,557 (64%) were male. Predominantly, patients presented with fever (41.30%), cough (40.20%), and dyspnea (29.29%). The major comorbidities were hypertension (29.70%), diabetes (25.40%), and chronic cardiac disease (5.79%). The common complications were liver dysfunction (26.83%), viral pneumonitis (23.66%), acute renal injury (15.25%), and acute respiratory distress syndrome (ARDS) (13.41%). In multivariate analysis, age (more than 40 years) (odds ratio (OR): 2.63; 95% confidence interval (CI): 1.531-4.512; p<0.001), diabetes (OR: 1.61; 95% CI: 1.088-2.399; p=0.017), obesity (OR: 6.88; 95% CI: 2.188-12.153; p=0.004), leukocytosis (OR: 1.74; 95% CI: 1.422-2.422; p<0.001), lymphocytopenia (OR: 2.54, 95% CI: 1.718-3.826; p<0.001), thrombocytopenia (OR: 1.15; 95% CI: 1.777-8.700; p=0.001), and ferritin concentration > 1,000 ng/mL (OR: 4.67; 95% CI: 1.991-10.975; p<0.001) were the independent predictors of mortality among COVID-19 patients.

Conclusion

The leading comorbidities in our study were hypertension, followed by diabetes. Patients who were 40 years or older, obese patients, and diabetic patients have a higher mortality risk. The poor prognostic predictors in COVID-19 patients were high ferritin levels (>1,000 ng/mL), leukocytosis, lymphocytopenia, and thrombocytopenia.

The MedConnect Program: Symptomatology, Return Visits, and Hospitalization of COVID-19 Outpatients Following Discharge From the Emergency Department

Background and objective

Although hospitalization is required for only a minority of those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the high rates of morbidity and mortality among these patients have led researchers to focus on the predictors of admission and adverse outcomes in the inpatient population. However, there is scarce data on the clinical trajectory of individuals symptomatic enough to present for emergency care, but not sick enough to be admitted. In light of this, we aimed to examine the symptomatology, emergency department (ED) revisits, and hospitalization of coronavirus disease 2019 (COVID-19) outpatients after discharge from the ED.

Methods

Adult patients with COVID-19 infection were prospectively enrolled after discharge from the ED between May and December 2020. Patients were followed up longitudinally for 14 days via phone interviews designed to provide support and information and to track symptomatology, ED revisits, and hospitalization.

Results

A volunteer, medical student-run program enrolled 199 COVID-19 patients discharged from the ED during the first nine months of the pandemic. Of the 176 patients (88.4%) who completed the 14-day protocol, 29 (16.5%) had a second ED visit and 17 (9.6%) were admitted, 16 (9%) for worsening COVID-19 symptoms. Age, male sex, comorbid illnesses, and self-reported dyspnea, diarrhea, chills, and fever were associated with hospital admission for patients with a subsequent ED visit. For those who did not require admission, symptoms generally improved following ED discharge. Age >65 years and a history of cardiovascular disease (CVD) were associated with a longer duration of cough, but generally, patient characteristics and comorbidities did not significantly affect the overall number or duration of symptoms.

Conclusions

Nearly one in five patients discharged from the ED with COVID-19 infection had a second ED evaluation during a 14-day follow-up period, despite regular phone interactions aimed at providing support and information. More than half of them required admission for worsening COVID-19 symptoms. Established risk factors for severe disease and self-reported persistence of certain symptoms were associated with hospital admission, while those who did not require hospitalization had a steady improvement in symptoms over the 14-day period.

Occurrence of acute kidney injury in adult patients hospitalized with COVID-19: A systematic review and meta-analysis

BACKGROUND AND AIM

The knowledge about the acute kidney injury (AKI) incidence in patients with coronavirus disease 2019 (COVID-19) can help health teams to carry out a targeted care plan. This study aimed to determine the AKI incidence in patients hospitalized with COVID-19.

METHODS

The electronic search covered research published until June 20, 2020, and included five databases, PubMed, Embase, Web of Science, Scopus, and Lilacs (Latin American and Caribbean Health Sciences Library). Eligible studies were those including data from AKI occurrence in adult patients hospitalized with COVID-19. The primary outcome was AKI incidence, and the secondary outcome assessed was the AKI mortality. Additionally, the estimated incidence of renal replacement therapy (RRT) need also was verified. Using a standardized form prepared in Microsoft Excel, data were extracted by two independents authors, regarding the description of studies, characteristics of patients and clinical data on the AKI occurrence.

RESULTS

We included 30 studies in this systematic review, of which 28 were included in the meta-analysis. Data were assessed from 18.043 adult patients with COVID-19. The AKI estimate incidence overall and at the ICU was 9.2% (4.6-13.9) and 32.6% (8.5-56.6), respectively. AKI estimate incidence in the elderly patients and those with acute respiratory disease syndrome was 22.9% (-4.0-49.7) and 4.3% (1.8-6.8), respectively. Patients with secondary infection, AKI estimate incidence was 31.6% (12.3-51.0). The estimate incidence of patients that required RRT was 3.2% (1.1-5.4) and estimate AKI mortality was 50.4% (17.0-83.9).

CONCLUSION

The occurrence of AKI is frequent among adult patients hospitalized with COVID-19, and affects on average, up to 13.9% of these patients. It is believed that AKI occurs early and in parallel with lung injury.

COVID-19 and its Cardiac and Neurological Complications among Ontario Visible Minorities

BACKGROUND

Due to lack of data on the epidemiology, cardiac, and neurological complications among Ontario visible minorities (Chinese and South Asians) affected by coronavirus disease (COVID-19), this population-based retrospective study was undertaken to study them systematically.

METHODS

From January 1, 2020 to September 30, 2020 using the last name algorithm to identify Ontario Chinese and South Asians who were tested positive by PCR for COVID-19, their demographics, cardiac, and neurological complications including hospitalization and emergency visit rates were analyzed compared to the general population.

RESULTS

Chinese (N = 1,186) with COVID-19 were found to be older (mean age 50.7 years) compared to the general population (N = 42,547) (mean age 47.6 years) (p < 0.001), while South Asians (N = 3,459) were younger (age of 42.1 years) (p < 0.001). The 30-day crude rate for cardiac complications among Chinese was 169/10,000 (p = 0.069), while for South Asians, it was 64/10,000 (p = 0.008) and, for the general population, it was 112/10,000. For neurological complications, the 30-day crude rate for Chinese was 160/10,000 (p < 0.001); South Asians was 40/10,000 (p = 0.526), and general population was 48/10,000. The 30-day all-cause mortality rate was significantly higher for Chinese at 8.1% vs 5.0% for the general population (p < 0.001), while it was lower in South Asians at 2.1% (p < 0.001).

CONCLUSIONS

Chinese and South Asians in Ontario affected by COVID-19 during the first wave of the pandemic were found to have a significant difference in their demographics, cardiac, and neurological outcomes.

Cardiac Implications of COVID-19 in Deceased and Recovered Patients: A Systematic Review

Background

Patients infected with coronavirus disease 2019 (COVID-19) present with various clinical presentations with majority of them developing pulmonary complications. This study focuses on cardiac implications of COVID-19 which are less discussed and thus will help to address cardiac implications of COVID-19.

Methods

PubMed, PubMed Central, and Google Scholar were screened for articles which mentioned cardiac implications of COVID-19. NHLBI Study Quality Assessment Tools for the observational cohort and cross-sectional studies was used for assessing the risk of bias of our studies.

Results

All 14 studies selected were good and had score of ≥9 by NHLBI Study Quality Assessment Tools. Cardiac complications of COVID-19 are common. They are associated with significant mortality. Also, people infected with COVID-19 with premorbid conditions such as cardiovascular diseases and diabetes mellitus have poor prognosis as compared to those without premorbid conditions. Cardiac biomarkers such as highly sensitive troponin I, creatinine, and creatinine kinase-MB on admission are good prognostic markers.

Conclusions

Cardiac complications such as heart failure, myocardial injury, and arrhythmias are common among patients infected with COVID-19. Elevated cardiac markers and patients with cardiac complications require utmost care and continuous cardiac monitoring.

Predictors of mortality in COVID-19 induced acute kidney injury

BACKGROUND

We aimed to investigate the predictors of mortality in patients with COVID-19-induced acute kidney injury (COV-AKI).

METHODS

We enrolled 803 patients who developed COV-AKI. The patients were divided into two groups: survivors and nonsurvivors.

RESULTS

A multivariate logistic regression analysis showed that age (p < 0.001), increased admission C-reactive protein (p = 0.016), procalcitonin (p = 0.019), creatine kinase (p = 0.04), KDIGO stage 1 versus 2 AKI (p < 0.001), KDIGO stage 1 versus 3 (p < 0.001), the need for renal replacement therapy (p = 0.002) and highest creatinine (p = 0.004) were significantly associated with increased inhospital mortality. However, the mortality of patients with AKI on admission (p = 0.002) was found to be lower than those who developed AKI after hospitalization.

CONCLUSIONS

Among patients with COV-AKI, high-inflammatory response and severe AKI were associated with significantly higher mortality.

Immunogenicity of candidate SARS-CoV-2 DNA vaccines based on the spike protein

Coronavirus disease 2019 caused by the novel human severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is currently a major threat to public health worldwide. To deal with the needs of vaccine, we developed four DNA vaccine candidates against SARS-CoV-2, based on the full-length spike (S) or truncated S protein. Following mice vaccination, we measured T-cell response and antigen-specific neutralizing antibody (NAb) titer. All four candidates induced humoral immune responses, including elevated levels of total IgG and NAbs, and cell-mediated immune responses, including multiple cytokine expression. However, the full-length S DNA vaccine enhanced the immune responses most significantly. We then evaluated its appropriate antigen dose and vaccination schedule. Although all immunized groups showed higher immune response than the control group, inoculation with 50 μg antigen led to the highest NAb titer. Immunity was significantly increased after the third inoculation. Thus, the full-length S DNA vaccine can potentially prevent SARS-CoV-2 infection.

Epidemiology of COVID-19 and Its Cardiac and Neurologic Complications Among Chinese and South Asians in Ontario: Waves 1, 2, and 3

Background

Although we had previously reported the cardiac and neurologic outcomes of Chinese and South Asian Ontarians in wave 1 of COVID-19, data on subsequent waves of COVID-19 remain unexamined. This is an extension study of this cohort in waves 2 and 3.

Methods

We identified adult Ontarians with a positive COVID-19 polymerase chain reaction test from January 1, 2020 to June 30, 2021, and they were classified as being Chinese or South Asian using a validated surname algorithm; we compared their outcomes of mortality, and cardiac and neurologic complications with those of the general population using multivariable logistic regression models.

Results

Compared to the general population (n = 439,977), the Chinese population (n = 15,208) was older (mean age 44.2 vs 40.6 years, P < 0.001) and the South Asian population (n = 46,333) was younger (39.2 years, P < 0.001). The Chinese population had a higher 30-day mortality (odds ratio [OR] 1.44; 95% confidence interval [CI] 1.28-1.61) and more hospitalization or emergency department visits (OR, 1.14; 95% CI, 1.09-1.28), with a trend toward a higher incidence of cardiac complications (OR, 1.03; 95% CI, 0.87-1.12) and neurologic complications (OR, 1.23; 95% CI, 0.96-1.58). South Asians had a lower 30-day mortality (OR, 0.88; 95% CI, 0.78-0.98) but a higher incidence of hospitalization or emergency department visits (OR, 1.17; 95% CI, 1.14-1.20) with a trend toward a lower incidence of cardiac complications (OR, 0.76; 95% CI, 0.67-0.87) and neurologic complications (OR, 0.89; 95% CI, 0.73-1.09). There was also a significant difference in these outcomes between wave 1, 2 and 3, with a greater mortality in all groups in waves 2 and 3.

Conclusions

Ethnicity continues to be an important determinant of mortality, cardiac and neurologic outcomes, and healthcare use among patients with COVID-19, requiring further studies to understand factors driving these differences.

Effectiveness of Intermediate Respiratory Care Units as an Alternative to Intensive Care Units during the COVID-19 Pandemic in Catalonia

Objectives: During the COVID-19 pandemic, the risk of collapse for the health system created great difficulties. We will demonstrate that intermediate respiratory care units (IRCU) provide adequate management of patients with non-invasive respiratory support, which is particularly important for patients with SARS-CoV-2 pneumonia. Methods: A prospective observational study of patients with COVID-19 admitted to the ICU of a tertiary hospital. Sociodemographic data, comorbidities, pharmacological, respiratory support, laboratory and blood gas variables were collected. The overall cost of the unit was subsequently analyzed. Results: 991 patients were admitted, 56 to the IRCU (from a of 81 admitted to the critical care unit). Mean age was 65 years (SD 12.8), Barthel index 75 (SD 8.3), Charlson comorbidity index 3.1 (SD 2.2), HTN 27%, COPD 89% and obesity 24%. A significant relationship (p < 0.05) with higher mortality was noted for the following parameters: fever greater than or equal to 39 °C [OR 5.6; 95% CI (1.2−2.7); p = 0.020], protocolized pharmacological treatment [OR 0.3; 95% CI (0.1−0.9); p = 0.023] and IOI [OR 3.7; 95% CI (1.1−12.3); p = 0.025]. NIMV had less of a negative impact [OR 1.8; 95% CI (0.4−8.4); p = 0.423] than IOI. The total cost of the IRCU amounted to €66,233. The cost per day of stay in the IRCU was €164 per patient. The total cost avoided was €214,865. Conclusions: The pandemic has highlighted the importance of IRCUs in facilitating the management of a high patient volume. The treatment carried out in IRCUs is effective and efficient, reducing both admissions to and stays in the ICU.

Racial Disparities in the Risk for Thromboembolic Events in COVID-19 Patients during the Height of the SARS-CoV-2 Pandemic and Impact on Outcomes

Background

The primary objective of this study is to assess the risk of thromboembolic events (TEs) in hospitalized patients with coronavirus disease 2019 (COVID-19) and study the impact of TEs on hospital course and mortality risk during the initial height of the severe acute respiratory syndrome coronavirus-2 pandemic.

Methods

A retrospective review of all adult inpatients (≥ 18 years old) with COVID-19 infection at a single academic institution from March 15, 2020 to July 1, 2020 was performed. Collected data included patient demographics, comorbidities, hospital admission type, TEs, laboratory values, use of anticoagulants/antiplatelet agents, hospital length of stay, and in-hospital mortality. A logistic regression was used to estimate associations between risk factors and TEs.

Results

A total of 826 inpatients with COVID-19 were identified. Of these, 56% were male, average age was 60.9 years, and race/ethnicity was reported as Hispanic in 51%, non-Hispanic Black in 25%, and non-Hispanic White in 18%. A total of 98 TEs were documented in 87 patients (10.5%). Hypertension, coronary artery disease, and chronic limb threatening ischemia were associated with an increased incidence of thromboembolism (P < 0.05). Hispanic patients had higher incidence of thromboembolism compared to White non-Hispanic patients (odds ratio {[OR] confidence interval [CI]}: 2.237 [1.053, 4.754], P = 0.036). As D-dimer increased, the odds of TE increased by 5.2% (OR [CI]: 1.052 [1.027, 1.077], P < 0.001). Patients with TEs had longer hospital stay (median 13 vs. 6 days, P < 0.001), higher likelihood of intensive care unit admission (63% vs. 33%, P < 0.001), and higher in-hospital mortality (28% vs. 16%, P = 0.006). Arterial TEs were associated with higher in-hospital mortality than venous TEs (37% vs. 15%, P = 0.027).

Conclusions

During the initial height of the severe acute respiratory syndrome coronavirus-2 pandemic, TEs were relatively frequent in hospitalized patients with COVID-19. Racial disparities were seen with an increased proportion of minority patients admitted with respect to percentages seen in the general population. There was also a significantly increased incidence of TEs in Hispanic patients. TEs were associated with significantly longer hospital stay and higher in-hospital mortality. Patients with arterial TEs fared worse with significantly higher mortality than those with venous events. Inconsistencies in anticoagulation management early in the pandemic may have contributed to poor outcomes and more contemporary management outcomes need to be investigated.

Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis synthesized the evidence on the impacts of demographics and comorbidities on the clinical outcomes of COVID-19, as well as the sources of the heterogeneity and publication bias of the relevant studies. Two authors independently searched the literature from PubMed, Embase, Cochrane library, and CINAHL on 18 May 2021; removed duplicates; screened the titles, abstracts, and full texts by using criteria; and extracted data from the eligible articles. The variations among the studies were examined by using Cochrane, Q.; I2, and meta-regression. Out of 11,975 articles that were obtained from the databases and screened, 559 studies were abstracted, and then, where appropriate, were analyzed by meta-analysis (n = 542). COVID-19-related severe illness, admission to the ICU, and death were significantly correlated with comorbidities, male sex, and an age older than 60 or 65 years, although high heterogeneity was present in the pooled estimates. The study design, the study country, the sample size, and the year of publication contributed to this. There was publication bias among the studies that compared the odds of COVID-19-related deaths, severe illness, and admission to the ICU on the basis of the comorbidity status. While an older age and chronic diseases were shown to increase the risk of developing severe illness, admission to the ICU, and death among the COVID-19 patients in our analysis, a marked heterogeneity was present when linking the specific risks with the outcomes.

Comprehensive Review of Cardiovascular Complications of Coronavirus Disease 2019 and Beneficial Treatments

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 and was first reported in December 2019 in Wuhan, China. Since then, it caused a global pandemic with 212,324,054 confirmed cases and 4,440,840 deaths worldwide as of August 22, 2021. The disease spectrum of COVID-19 ranges from asymptomatic subclinical infection to clinical manifestations predominantly affecting the respiratory system. However, it is now evident that COVID-19 is a multiorgan disease with a broad spectrum of manifestations leading to multiple organ injuries including the cardiovascular system. We review studies that have shown that the relationship between cardiovascular diseases and COVID-19 is indeed bidirectional, implicating that preexisting cardiovascular comorbidities increase the morbidity and mortality of COVID-19, and newly emerging cardiac injuries occur in the settings of acute COVID-19 in patients with no preexisting cardiovascular disease. We present the most up-to-date literature summary to explore the incidence of new-onset cardiac complications of coronavirus and their role in predicting the severity of COVID-19. We review the association of elevated troponin with the severity of COVID-19 disease, which includes mild compared to severe disease, in nonintensive care unit compared to intensive care unit patients and in those discharged from the hospital compared to those who die. The role of serum troponin levels in predicting prognosis are compared in survivors and non-survivors. The association between COVID-19 disease and myocarditis, heart failure and coagulopathy are reviewed. Finally, an update on beneficial treatments is discussed.

Impact of diabetes on COVID-19 mortality and hospital outcomes from a global perspective: An umbrella systematic review and meta-analysis

INTRODUCTION

To date, COVID-19 has claimed 4.9 million lives. Diabetes has been identified as an independent risk factor of serious outcomes in people with COVID-19 infection. Whether that holds true across world regions uniformly has not been previously assessed.

METHODS

This study offers the first umbrella systematic review and meta-analysis to analyse the collective and geographically stratified mortality, ICU admission, ventilation requirement, illness severity and discharge rate amongst patients with diabetes. Five databases (EMBASE, MEDLINE, CAB Abstracts, PsychInfo and Web of Science) and 3 additional sources (SSRN's eLibrary, Research Square and MedRxiv) were searched from inception to 30 August 2021. Prospective and retrospective cohort studies, reporting the association between diabetes and one or more COVID-19 hospitalization outcomes, were included. This meta-analysis was registered on PROSPERO, CRD42021278579. Abbreviated MeSH terms used for search were as follows: (Diabetes) AND (2019 Novel Coronavirus Disease), adapted per database requirements. Exclusion criteria exclusion criteria were as follows: (1) none of the primary or secondary outcomes of meta-analysis reported, (2) no confirmed COVID-19 infection (laboratory or clinical) and (3) no unexposed population (solely patients with diabetes included). Quality of the included studies were assessed using the Newcastle-Ottawa Scale (NOS) whilst quality of evidence by the GRADE framework. Studies that were clinically homogeneous were pooled. Summative data and heterogeneity were generated by the Cochrane platform RevMan (V. 5.4).

RESULTS

Overall, 158 observational studies were included, with a total of 270,212 of participants, median age 59 [53-65 IQR] of who 56.5% were male. A total of 22 studies originated from EU, 90 from Far East, 16 from Middle East and 30 from America. Data were synthesized with mixed heterogeneity across outcomes. Pooled results highlighted those patients with diabetes were at a higher risk of COVID-19-related mortality, OR 1.87 [95%CI 1.61, 2.17]. ICU admissions increased across all studies for patients with diabetes, OR 1.59 [95%CI 1.15, 2.18], a result that was mainly skewed by Far East-originating studies, OR 1.94 [95%CI 1.51, 2.49]. Ventilation requirements were also increased amongst patients with diabetes worldwide, OR 1.44 [95%CI 1.20, 1.73] as well as their presentation with severe or critical condition, OR 2.88 [95%CI 2.29, 3.63]. HbA1C levels under <70 mmol and metformin use constituted protective factors in view of COVID-19 mortality, whilst the inverse was true for concurrent insulin use.

CONCLUSIONS

Whilst diabetes constitutes a poor prognosticator for various COVID-19 infection outcomes, variability across world regions is significant and may skew overall trends.

Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review

COVID-19 is a disease caused by SARS-CoV-2 and has been declared a worldwide pandemic by the World Health Organization due to its rapid spread. Since the first case was identified in Wuhan, China, the battle against this deadly disease started and has disrupted almost every field of life. Medical staff and laboratories are leading from the front, but researchers from various fields and governmental agencies have also proposed healthy ideas to protect each other. In this article, a Systematic Literature Review (SLR) is presented to highlight the latest developments in analyzing the COVID-19 data using machine learning and deep learning algorithms. The number of studies related to Machine Learning (ML), Deep Learning (DL), and mathematical models discussed in this research has shown a significant impact on forecasting and the spread of COVID-19. The results and discussion presented in this study are based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Out of 218 articles selected at the first stage, 57 met the criteria and were included in the review process. The findings are therefore associated with those 57 studies, which recorded that CNN (DL) and SVM (ML) are the most used algorithms for forecasting, classification, and automatic detection. The importance of the compartmental models discussed is that the models are useful for measuring the epidemiological features of COVID-19. Current findings suggest that it will take around 1.7 to 140 days for the epidemic to double in size based on the selected studies. The 12 estimates for the basic reproduction range from 0 to 7.1. The main purpose of this research is to illustrate the use of ML, DL, and mathematical models that can be helpful for the researchers to generate valuable solutions for higher authorities and the healthcare industry to reduce the impact of this epidemic.

CHARACTERIZATION OF PATIENTS IN THE POST-ACUTE PHASE OF COVID-19 WHO PRESENTED THEMSELVES TO AN EMERGENCY DEPARTMENT

BACKGROUND

Patients that recovered from COVID-19 may remain with symptoms which can persist for an uncertain period of time.

AIM

The purpose of this study was to investigate the reasons why patients who passed the acute phase of COVID-19 presented themselves to the Emergency Department.

PATIENTS AND METHODS

We selected 87 patients admitted to the Emergency Department of the Bucharest University Emergency Hospital between 01.01.2021-31.05.2021. Patients had pulmonary fibrosis (11.49%), pleural effusion (16.09%) or a history of hypertension (73.56%), type 2 diabetes (42.53%), stroke (24.14%), malignant diseases (10.34%).

RESULTS

Association between neutrophil levels and acute stroke and between fibrinogen levels and alveolar condensation were identified. The percentage of deaths was significantly higher in the subgroup of subjects that had maxim 11 days of hospitalization (p=0.004); we observed a trend of association between the age of more than 51 years old and admission in the Emergency Unit at less than a month after the SARS Cov2 infection, the positive result at the RT-PCR test or a lung damage of over 30% (p<0.05).

CONCLUSION

A significant percentage of patients that were admitted to the Emergency Unit post COVID-19 had chronic pathologies and their characteristics were associated with neutrophilia, high fibrinogen levels or length of hospitalization.

Possible harm from glucocorticoid drugs misuse in the early phase of SARS-CoV-2 infection: a narrative review of the evidence

Since the publication of the RECOVERY trial, the use of glucocorticoid drugs (GC) has spread for the treatment of severe COVID-19 worldwide. However, the benefit of dexamethasone was largest in patients who received mechanical ventilation or supplemental oxygen therapy, while no benefit was found among patients without hypoxemia. In addition, a positive outcome was found in patients who received dexamethasone after several days of symptoms, while possible harm could exist if administered early. The right time interval for GC administration is still a matter of debate. Previous studies showed that an early GC use during the first phase of the disease, when viral replication peaks, may negatively affect the innate immune response through several mechanisms, such as the inhibition of pro-inflammatory and antiviral cytokine production and signaling pathway, including type I interferon, that is fundamental to counteract the virus and that was found to be impaired in several patients with life-threatening COVID-19. The GC misuse can lead to a more severe disease even in patients who do not have the established risk factors, such as obesity and cardiovascular diseases. In our focused review, we describe the role of immune response in viral infections, especially SARS-CoV-2, and discuss the potential harms of GC misuse in COVID-19.

Associations of pre-existing cardiovascular morbidity with severity and the fatality rate in COVID-19 patients: a systematic review and meta-analysis

Objectives

The aim of this study was to evaluate the association of pre-existing cardiovascular comorbidities, including hypertension and coronary heart disease, with coronavirus disease 2019 (COVID-19) severity and mortality.

Methods

PubMed, ScienceDirect, and Scopus were searched between January 1, 2020, and July 18, 2020, to identify eligible studies. Random-effect models were used to estimate the pooled event rates of pre-existing cardiovascular disease comorbidities and odds ratio (OR) with 95% confidence intervals (95% CIs) of disease severity and mortality associated with the exposures of interest.

Results

A total of 34 studies involving 19,156 patients with COVID-19 infection met the inclusion criteria. The prevalence of pre-existing cardiovascular disease in the included studies was 14.0%. Pre-existing cardiovascular disease in COVID-19 patients was associated with severe outcomes (OR, 4.1; 95% CI, 2.9 to 5.7) and mortality (OR, 6.1; 95% CI, 2.9 to 12.7). Hypertension and coronary heart disease increased the risk of severe outcomes by 3 times (OR, 3.2; 95% CI, 2.0 to 3.6) and 2.5 times (OR, 2.5; 95% CI, 1.7 to 3.8), respectively. No significant publication bias was indicated.

Conclusion

COVID-19 patients with pre-existing cardiovascular comorbidities have a higher risk of severe outcomes and mortality. Awareness of pre-existing cardiovascular comorbidity is important for the early management of COVID-19.

Biomarkers during COVID-19: Mechanisms of Change and Implications for Patient Outcomes

As the COVID-19 (Coronavirus disease 19) pandemic spreads worldwide, the massive numbers of COVID-19 patients have created a considerable healthcare burden for every country. The clinical spectrum of SARS-CoV-2 infection is broad, ranging from asymptomatic to mild, moderate, severe, and critical. Most COVID-19 patients present with no or mild symptoms, but nearly one-fifth of all patients develop severe or life-threatening complications. In addition to localized respiratory manifestations, severe COVID-19 cases also show extra-pulmonary complications or induce multiorgan failure. Identifying, triaging, and treating patients at risk early is essential and urgent. This article reviews the potential prognostic value of various biomarkers at different clinical spectrum stages of COVID-19 infection and includes information on fundamental prognostic mechanisms as well as potential clinical implications. Biomarkers are measurable biochemical substances used to recognize and indicate disease severity or response to therapeutic interventions. The information they provide is objective and suitable for delivering healthcare providers with a means of stratifying disease state in COVID-19 patients. This, in turn, can be used to help select and guide intervention efforts as well as gauge the efficacy of therapeutic approaches. Here, we review a number of potential biomarkers that may be used to guide treatment, monitor treatment efficacy, and form individualized therapeutic guidance based on patient response. Implementation of the COVID-19 biomarkers discussed here may lead to significantly improved quality of care and patient outcomes for those infected with SARS-CoV-2 worldwide.

Clinical and biochemical profile of COVID-19 patients admitted in a tertiary care hospital in Visakhapatnam, India during post unlock 2.0 - a retrospective study

There have been more than 31378143 confirmed coronavirus disease 2019 (COVID-19) cases in India. It was declared a pandemic by the World Health Organization (WHO) on March 11, 2020. Because the risk of severe COVID-19 is not consistent across all individuals, uncertainty is linked to disease development. COVID-19 results have been related to systemic inflammation as a predictor. In COVID-19, increased levels of inflammatory markers have been associated with cytokine storm, coagulopathy, and endothelial dysfunction. A significant amount of research suggests that these results have a role in the cause of death in individuals suffering from a severe form of COVID-19. We aim to show our experience of COVID-19 at GITAM Institute of Medical Sciences and Research (GIMSR), Visakhapatnam. We analyzed data on 558 patients admitted to our dedicated COVID hospital during post unlock (UL) 2.0 in India from August 2 to August 31, 2020. The mean age was 43.65 years; 69% of them were male. Using MoHFW India severity guidelines, 68.10% were mild, 18.64% were moderate, and 13.26% were severe cases. Fatigue (66.13%) was the most common complaint, followed by anosmia (63.80%), fever (57.53%), diarrhea (56.09%), shortness of breath (22.40%), and others. The most common preexisting comorbidity seen in our patients was diabetes mellitus and hypertension, respectively. Laboratory parameters revealed mean hemoglobin of 13.04±1.91 gm/dl, mean total leukocyte count of 7378.49±3229 cells/cumm, mean platelet count of 2.3±0.8 lakhs/cumm, mean erythrocyte sediment rate of 40±30 mm/hr, mean ferritin level of 335.96 ng/ml, mean D-dimer level of 794.88 ng/ml and mean CRP of 23.27 mg/l. Severity was associated with higher age, symptomatic presentation, elevated leucocytes, and elevated inflammatory markers.

Low Levels of Granulocytic Myeloid-Derived Suppressor Cells May Be a Good Marker of Survival in the Follow-Up of Patients With Severe COVID-19

Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes a disease (coronavirus disease 2019, COVID-19) that may develop into a systemic disease with immunosuppression and death in its severe form. Myeloid-derived suppressive cells (MDSCs) are inhibitory cells that contribute to immunosuppression in patients with cancer and infection. Increased levels of MDSCs have been found in COVID-19 patients, although their role in the pathogenesis of severe COVID-19 has not been clarified. For this reason, we raised the question whether MDSCs could be useful in the follow-up of patients with severe COVID-19 in the intensive care unit (ICU). Thus, we monitored the immunological cells, including MDSCs, in 80 patients admitted into the ICU. After 1, 2, and 3 weeks, we examined for a possible association with mortality (40 patients). Although the basal levels of circulating MDSCs did not discriminate between the two groups of patients, the last measurement before the endpoint (death or ICU discharge) showed that patients discharged alive from the ICU had lower levels of granulocytic MDSCs (G-MDSCs), higher levels of activated lymphocytes, and lower levels of exhausted lymphocytes compared with patients who had a bad evolution (death). In conclusion, a steady increase of G-MDSCs during the follow-up of patients with severe COVID-19 was found in those who eventually died.

SARS-CoV-2 antibody seroprevalence in Lebanon: findings from the first nationwide serosurvey

BACKGROUND

Lebanon, a small country in the Middle East, remains severely affected by the COVID-19 pandemic. Seroprevalence surveys of anti-SARS-CoV-2 antibodies provide accurate estimates of SARS-CoV-2 infection and hence evaluate the extent of the pandemic. The present study aimed to evaluate the prevalence of SARS-CoV-2 antibodies in Lebanon and to compare the estimated cumulative number of COVID-19 cases with the officially registered number of laboratory-confirmed cases up to January 15, 2021.

METHODS

A nationwide population-based serosurvey study was conducted in Lebanon between December 7, 2020, and January 15, 2021, before the initiation of the national vaccination program. The nCOVID-19 IgG & IgM point-of-care (POCT) rapid test was used to detect the presence of anti-SARS-COV-2 immunoglobulin G (IgG) in the blood. Seroprevalence was estimated after weighting for sex, age, and area of residence and adjusting for the test performance.

RESULTS

Of the 2058 participants, 329 were positive for IgG SARS-COV-2, resulting in a crude seroprevalence of 16.0% (95% CI 14.4-17.6). The weighed seroprevalence was 15.9% (95% CI of 14.4 and 17.4). After adjusting for test performance, the population weight-adjusted seroprevalence was 18.5% (95% CI 16.8-20.2). This estimate implies that 895,770 individuals of the general population were previously infected by COVID-19 up to January 15, 2021 in Lebanon. The overall estimated number of subjects with previous SARS-CoV-2 infection was three times higher than the officially reported cumulative number of confirmed cases. Seroprevalence was similar across age groups and sexes (p-value > 0.05). However, significant differences were revealed across governorates.

CONCLUSIONS

Our results suggest that the Lebanese population is still susceptible to SARS-CoV-2 infection and far from achieving herd immunity. These findings represent an important contribution to the surveillance of the COVID-19 pandemic in Lebanon and to the understanding of how this virus spreads. Continued surveillance for COVID-19 cases and maintaining effective preventive measures are recommended to control the epidemic spread in conjunction with a national vaccination campaign to achieve the desired level of herd immunity against COVID-19.

Comparison of some hematological parameters between male and female patients infected with COVID-19

BACKGROUND

COVID-19 is a highly contagious virus that is rapidly spreading across the world. As the number of COVID-19 patients is quickly rising, and certain nations and areas, such as the third world countries, lack the medical resources, it is critical to track and monitor a patient's status using blood parameters on regular testing. The aim of this study is to compare the serum D-dimer levels, Ferritin, CRP, WBCs, Lymphocytes, and Neutrophils in male and female patients infected with COVID-19.

OBJECTIVE AND METHODS

The study procedure includes evaluating the D-dimer level, Ferritin, CRP, WBCs, lymphocytes, and neutrophils in 116 patients infected with COVID-19 (48 Females and 68 Males).

RESULT

The result of this study shows a significant increase in the D-dimer level in males 1618 ± 247.7 ng/ml compared to females 684.5 ± 53.69 ng/ml and a significant increase in Ferritin level in males 525.6 ± 69.55 μg/L compared to females 254.1 ± 33.73 μg/L. However, no other significant change is seen in the other parameters (CRP, LDH, and WBCs, L, and N) although all of these parameters are abnormal, compared to the normal reference values.

CONCLUSION

This study concludes that there is a significant increase in the D-dimer and Ferritin concentrations in male patients compared to female patients, who were infected with COVID-19. Also there are no significant differences in other parameters (CRP, LDH, WBCs, L, and N) between male and female patients.

COVID-19 and varicocele: the possible overlap factors and the common therapeutic approaches

Varicocele is recognized as one of the main attributable causes of male infertility which can affect spermatogenesis by various pathophysiological mechanisms. Recent studies have identified oxidative stress and reduction in antioxidant, hyperthermia, hypoxia, hormonal dysfunction, and inflammatory conditions as major factors in the pathophysiology of varicocele, all of which have known direct associations with the coronavirus disease 2019 (COVID-19) and can significantly increase the risk of detrimental COVID-19-related outcomes. Emerging data have shown an association between COVID-19 and inflammation, overproduction of cytokine, and other pathophysiological processes. The present review, summarizes the current understanding of the pathophysiology of varicocele and investigates the potential correlation between the severity of COVID-19 and the varicocele disease. In addition, various possible treatments which can be effective in both diseases were examined. Despite numerous challenges associated with the prevalence of COVID-19 in healthcare systems in infected countries, special attention should be given to maintaining a high level of care for complex patients with a pre-existing disease such as varicocele and providing appropriate practical advice for optimal control of the COVID-19 disease. This article is protected by copyright. All rights reserved.

The Management of a Comprehensive Cancer Center during the First Six Months of the COVID-19 Pandemic in the South of France: Lessons from the Paoli-Calmettes Institute's Experience

During the COVID-19 pandemic, it was rapidly established that cancer patients have an increased risk of developing severe forms of the 2019 coronavirus disease (COVID-19) due to a backlog of cancer diagnostics and immunosuppressive treatments. Cancer centers had to quickly adapt to continue cancer therapies despite the high infection risks and major disruptions in the French healthcare system. We described and analyzed the impact of the pandemic in our institution: management adjustments, COVID-19 infection rates in patients and staff, and impacts on clinical activities and finances during the first wave of the pandemic from March to September 2020. We also compared the results to the clinical activity data from preceding periods. A crisis unit was rapidly created that met 27 times over 66 days, generating numerous changes in hospital protocol. While our area was devastated by the pandemic, the infection rate of our staff and patients remained low (less than 1.5% of all employees). However, the lockdown period was accompanied with a reduction of most clinical activities, leading to decreases of 43%, 36%, 36%, 1%, and 10% in surgery, endoscopy, radiotherapy, and in- and out-patient chemotherapy sessions, respectively, with substantial financial loss. Our report highlights the need for the rapid creation, implementation, and adaptation of new protocols during a pandemic’s evolution to prevent disease transmission. Lessons from this situation should provide motivation to better prepare for/limit the dismantling of cancer therapies that can dramatically impact patient care and have deleterious consequences on an institution’s financial situation.

Mental Health and Adherence to COVID-19 Protective Behaviors among Cancer Patients during the COVID-19 Pandemic: An International, Multinational Cross-Sectional Study

A population-based cross-sectional study was conducted during the first COVID-19 wave, to examine the impact of COVID-19 on mental health using an anonymous online survey, enrolling 9565 individuals in 78 countries. The current sub-study examined the impact of the pandemic and the associated lockdown measures on the mental health, and protective behaviors of cancer patients in comparison to non-cancer participants. Furthermore, 264 participants from 30 different countries reported being cancer patients. The median age was 51.5 years, 79.9% were female, and 28% had breast cancer. Cancer participants reported higher self-efficacy to follow recommended national guidelines regarding COVID-19 protective behaviors compared to non-cancer participants (p < 0.01). They were less stressed (p < 0.01), more psychologically flexible (p < 0.01), and had higher levels of positive affect compared to non-cancer participants. Amongst cancer participants, the majority (80.3%) reported COVID-19, not their cancer, as their priority during the first wave of the pandemic and females reported higher levels of stress compared to males. In conclusion, cancer participants appeared to have handled the unpredictable nature of the first wave of the pandemic efficiently, with a positive attitude towards an unknown and otherwise frightening situation. Larger, cancer population specific and longitudinal studies are warranted to ensure adequate medical and psychological care for cancer patients.

Olfactory dysfunction as a screening tool for mild and moderate cases of COVID-19: a single-center prevalence study of 646 patients in flu clinic

Background

To evaluate the prevalence of olfactory dysfunction (OD) in the Indian population and to establish olfactory dysfunction as a screening tool in COVID-19-positive patients. Data was collected using a questionnaire from laboratory-confirmed COVID-19 patients. The patient’s demographic and clinical details were analyzed to calculate the prevalence of olfactory dysfunction, general symptoms like fever, cough, malaise, diarrhea, along with the sinonasal symptoms. All the symptoms were self-reported, and no objective tests were carried out.

Results

Out of 646 laboratory-confirmed cases of COVID-19 infection, olfactory dysfunction was self-reported by 465 (72%) patients and gustatory dysfunction (GD) was seen in 406 (62.8%) patients. The affected males (416) were proportionately more than females (230), with the mean age of our study population being 39.47 ± 13.85 (range 18–85 years). The most common symptoms were myalgia (n = 494, 76.5%), cough (n = 471, 72.9%), and fever (n = 444, 68.7%). Out of 465 patients with olfactory dysfunction, only 108 (23.2%) reported nasal obstruction. Five hundred thirty-three (82.5%) RT-PCR-positive patients did not give a history of smoking; however, co-morbidity was reported by 163 patients, of which 117 were found to have olfactory dysfunction. One hundred seventy (26.3%) patients gave a positive contact history.

13.6% reported olfactory dysfunction as their first symptom. A positive association was seen between olfactory dysfunction and gustatory dysfunction

Conclusions

Our study demonstrates a high prevalence of 72% in the Indian population. We recommend that anosmia be used as a screening tool to identify mild to moderate cases of COVID-19.

The Spectrum of Antibiotic Prescribing During COVID-19 Pandemic: A Systematic Literature Review

Objectives: Over the last decades, there has been a significant increase in antimicrobial prescribing and consumption associated with the development of patients' adverse events and antimicrobial resistance (AMR) to the point of becoming a global priority. This study aims at evaluating antibiotic prescribing during COVID-19 pandemic from November 2019 to December 2020. Materials and Methods: A systematic review was conducted primarily through the NCBI database, using PRISMA guidelines to identify relevant literature for the period between November 1, 2019 and December 19, 2020, using the keywords: COVID-19 OR SARS-Cov-2 AND antibiotics restricted to the English language excluding nonclinical articles. Five hundred twenty-seven titles were identified; all articles fulfilling the study criteria were included, 133 through the NCBI, and 8 through Google Scholar with a combined total of 141 studies. The patient's spectrum included all ages from neonates to elderly with all associated comorbidities, including immune suppression. Results: Of 28,093 patients included in the combined studies, 58.7% received antibiotics (16,490/28,093), ranging from 1.3% to 100% coverage. Antibiotics coverage was less in children (57%) than in adults with comorbidities (75%). Broad-spectrum antibiotics were prescribed presumptively without pathogen identifications, which might contribute to adverse outcomes. Conclusions: During the COVID-19 pandemic, there has been a significant and wide range of antibiotic prescribing in patients affected by the disease, particularly in adults with underlying comorbidities, despite the paucity of evidence of associated bacterial infections. The current practice might increase patients' immediate and long-term risks of adverse events, susceptibility to secondary infections as well as aggravating AMR.

TransCOVID: Does Gender-Affirming Hormone Therapy Play a Role in Contracting COVID-19?

Based on the possible effects of androgens on the course of COVID-19, it can be posited that Gender-Affirming Hormone Therapy (GAHT) may affect the course of the disease in people with GD. We aimed to investigate the relationship between GAHT and contracting COVID-19, as well as the severity of the disease in individuals with Gender Dysphoria (GD). The single center, cross-sectional, web-based survey was completed by people with GD who received GAHT. The questionnaire contained three parts: a sociodemographic data form; a GAHT data form; a COVID-19-related data form. Of the 238 participants, 179 were individuals with female-to-male (FtM) and 59 male-to-female (MtF) GD. We detected that the risk of contracting COVID-19 increased 3.46 times in people with FtM GD, who had received testosterone therapy, in comparison to people with MtF GD, who received estrogen and anti-androgen therapy. Additionally, people with FtM GD who contracted COVID-19 had received longer testosterone therapy when compared to those who did not contract COVID-19. Our findings indicate that individuals with FtM GD who receive testosterone treatment within the scope of GAHT are at higher risk of contracting COVID-19 and that the clinicians who follow-up on GAHT should be more careful about this issue.

Data-Driven Analysis of COVID-19 Reveals Persistent Immune Abnormalities in Convalescent Severe Individuals

Severe SARS-CoV-2 infection can trigger uncontrolled innate and adaptive immune responses, which are commonly associated with lymphopenia and increased neutrophil counts. However, whether the immune abnormalities observed in mild to severely infected patients persist into convalescence remains unclear. Herein, comparisons were drawn between the immune responses of COVID-19 infected and convalescent adults. Strikingly, survivors of severe COVID-19 had decreased proportions of NKT and Vδ2 T cells, and increased proportions of low-density neutrophils, IgA+/CD86+/CD123+ non-classical monocytes and hyperactivated HLADR+CD38+ CD8+ T cells, and elevated levels of pro-inflammatory cytokines such as hepatocyte growth factor and vascular endothelial growth factor A, long after virus clearance. Our study suggests potential immune correlates of "long COVID-19", and defines key cells and cytokines that delineate true and quasi-convalescent states.