Analysis of clinical features and outcomes of 161 patients with severe and critical COVID-19: A multicenter descriptive study

Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center

Introduction: The role of the type, stage and status of cancer in the outcome of COVID-19 remains unclear. Moreover, the characteristic pathological changes of severe COVID-19 reveled by laboratory and radiological findings are similar to those due to the development of cancer itself and antineoplastic therapies. Objective: To identify potential predictors of mortality of COVID-19 in cancer patients. Materials and methods: A retrospective and cross-sectional study was carried out in patients with clinical suspicion of COVID-19 who were confirmed for COVID-19 diagnosis by RT-PCR testing at the National Institute of Neoplastic Diseases between April and December 2020. Demographic, clinical, laboratory and radiological data were analyzed. Statistical analyses included area under the curve and univariate and multivariate logistic regression analyses. Results: A total of 226 patients had clinical suspicion of COVID-19, the diagnosis was confirmed in 177 (78.3%), and 70/177 (39.5%) died. Age, active cancer, leukocyte count ≥12.8 × 109/L, urea ≥7.4 mmol/L, ferritin ≥1,640, lactate ≥2.0 mmol/L, and lung involvement ≥35% were found to be independent predictors of COVID-19 mortality. Conclusion: Active cancer represents the main prognosis factor of death, while the role of cancer stage and type is unclear. Chest CT is a useful tool in the prognosis of death from COVID-19 in cancer patients. It is a challenge to establish the prognostic utility of laboratory markers as their altered values it could have either oncological or pandemic origins.

Neurological complications and effects of COVID-19: Symptoms and conceivable mechanisms

A novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first identified in December 2019 in Wuhan, China. The new coronavirus disease (COVID-19) was declared a global pandemic by the World Health Organization (WHO) in March 2020. SARS-CoV-2 can invade the nervous system aside from infecting the respiratory system as its primary target. The most common nervous system symptoms of COVID-19 are stated as headache, myalgia, fatigue, nausea, vomiting, sudden and unexplained anosmia, and ageusia. More severe conditions such as encephalomyelitis, acute myelitis, thromboembolic events, ischemic stroke, intracerebral hemorrhage, Guillain-Barré-syndrome, Bell's palsy, rhabdomyolysis, and even coma have also been reported. Cohort studies revealed that neurological findings are associated with higher morbidity and mortality. The neurological symptoms and manifestations caused by SARS-CoV-2 and COVID-19 are examined and summarized in this article.

Nutritional management and clinical outcome of critically ill patients with COVID-19: A retrospective study in a tertiary hospital

BACKGROUND & AIMS

Severe COVID-19 infection is characterized by an inflammatory response and lung injury that can evolve into an acute respiratory distress syndrome that needs support treatment in intensive care unit. Nutritional treatment is an important component of the management of critically ill patients and should be started in the first 48 h of ICU admission to avoid malnutrition. This study describes the characteristics of the patients treated in a tertiary hospital in Madrid during the months of March-May 2020 (first wave), the medical nutrition treatment employed and its influence in the clinical outcome of these patients.

METHODS

This is a retrospective study including COVID-19 patients admitted in ICU that needed medical nutrition treatment (MNT). Collected variables included sex, age, BMI, underlying diseases, time from hospitalisation to ICU admission, type of respiratory support (invasive mechanical ventilation (IMV) or high flow nasal cannula (HFNC) or non-invasive ventilation (non-IMV)), caloric and protein requirements (25 kcal/kg adjusted body weight (ABW), 1.3 g/kg ABW/day), MNT type (enteral nutrition (EN), parenteral nutrition (PN), mixed EN + PN), total calories (including propofol) and proteins administered, percentage of caloric and protein goal in ICU day 4th and 7th, metabolic complications, acute kidney failure (AKF), length of stay (LOS) and mortality. Data are expressed as mean ± SD, median (IQR) or frequencies. Statistical analysis was performed with the IBM SPSS Statistics for Windows, Version 25.0. p < 0.05 were considered statistically significant.

RESULTS

A total of 176 patients were included (72.7% male), 60.1 ± 13.5 years, BMI 29.9 ± 5.4 kg/m². Underlying diseases included 47.4% overweight, 39.8% obesity, 49.1% hypertension, 41.4% dyslipidaemia. 88.6% of patients needed IMV, 89.1% prone position, 2.9% ECMO. Time to ICU admission: 2 (4.75) days. Estimated caloric and protein requirements were 1775 ± 202 kcal and 92.4 ± 10.3 g. Calories and proteins administered at days 4th and 7th were 1425 ± 577 kcal and 66 ± 26 g and 1574 ± 555 and 74 ± 37, respectively. Most of the patients received PN (alone or complementary to EN) to cover nutritional requirements (82.4% at day 4th and 77.9% at day 7th). IVM patients received more calories and proteins during the first week of ICU admission. Complications included 77.8% hyperglycaemia, 13.2% hypoglycaemia, 83.8% hypertriglyceridemia, and 35.1% AKF. ICU LOS was 20.5 (26) days. The mortality rate was 36.4%.

CONCLUSIONS

In our series, the majority of patients reached energy and protein requirements in the first week of ICU admission due to the use of PN (total or complementary to EN). Patients with HFNC or non-IMV may be at risk of malnutrition if total or complementary PN to oral diet/ONS/tube feeding is not used to cover nutritional requirements. Therefore, if EN is not possible or insufficient, PN can be safely used in critically ill patients with COVID-19 with a close monitoring of metabolic complications.

Moraxella occupied the largest proportion in the nasal microbiome in healthy children, which potential protect them from COVID-19

BACKGROUND

In the prevalence of COVID-19, infection symptoms are different in children and adults. In this study to investigate the differences in the upper respiratory tract microbiome profile between healthy children and adults and to explore which microbiome protect them from COVID-19.

METHODS

Thirty healthy children and 24 healthy adults were enrolled between October 2020 and January 2021. Nasal and throat swabs were obtained at enrollment, and DNA was extracted. We performed 16S rDNA sequencing to compare the alpha and beta diversity of the nasal and throat microbiomes between children and adults and assessed potential microbiome biomarkers.

RESULTS

In the nasal microbiome, there were significant differences between healthy children and adults, and Moraxella occupied the largest proportion in healthy children. Notably, there was no significant difference between healthy children and adults in the throat microbiome, and it was predominated by Firmicutes. In the function analysis, compared with adults, there was increased enrichment in pathways related to amino acid metabolism and lipid metabolism, in children.

CONCLUSIONS

In the upper respiratory tract microbiome profiles, Moraxella may be involved in protecting children from COVID-19 infections and may be involved the amino acid metabolism and lipid metabolism.

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.

Immune and epithelial determinants of age-related risk and alveolar injury in fatal COVID-19

Respiratory failure in COVID-19 is characterized by widespread disruption of the lung’s alveolar gas exchange interface. To elucidate determinants of alveolar lung damage, we performed epithelial and immune cell profiling in lungs from 24 COVID-19 autopsies and 43 uninfected organ donors ages 18–92 years. We found marked loss of type 2 alveolar epithelial (T2AE) cells and increased perialveolar lymphocyte cytotoxicity in all fatal COVID-19 cases, even at early stages before typical patterns of acute lung injury are histologically apparent. In lungs from uninfected organ donors, there was also progressive loss of T2AE cells with increasing age, which may increase susceptibility to COVID-19–mediated lung damage in older individuals. In the fatal COVID-19 cases, macrophage infiltration differed according to the histopathological pattern of lung injury. In cases with acute lung injury, we found accumulation of CD4⁺ macrophages that expressed distinctly high levels of T cell activation and costimulation genes and strongly correlated with increased extent of alveolar epithelial cell depletion and CD8⁺ T cell cytotoxicity. Together, our results show that T2AE cell deficiency may underlie age-related COVID-19 risk and initiate alveolar dysfunction shortly after infection, and we define immune cell mediators that may contribute to alveolar injury in distinct pathological stages of fatal COVID-19.

Current utilization of interferon alpha for the treatment of coronavirus disease 2019: A comprehensive review

Recent studies have identified an association between perturbed type I interferon (IFN) responses and the severity of coronavirus disease 2019 (COVID-19). IFNα intervention may normalize the dysregulated innate immunity of COVID-19. However, details regarding its utilization and therapeutic evidence have yet to be systematically evaluated. The aim of this comprehensive review was to summarize the current utilization of IFNα for COVID-19 treatment and to explore the evidence on safety and efficacy. A comprehensive review of clinical studies in the literature prior to December 1st_, 2021, was performed to identify the current utilization of IFNα, which included details on the route of administration, the number of patients who received the treatment, the severity at the initiation of treatment, age range, the time from the onset of symptoms to treatment, dose, frequency, and duration as well as safety and efficacy. Encouragingly, no evidence was found against the safety of IFNα treatment for COVID-19. Early intervention, either within five days from the onset of symptoms or at hospital admission, confers better clinical outcomes, whereas late intervention may result in prolonged hospitalization.

Prognostic factors for predicting severity and mortality in hospitalized COVID‐19 patients

Background

Coronavirus disease 2019, COVID‐19, has reached all the corners of the world and was declared by the WHO as a global pandemic and public health emergency of international concern on the January 31, 2020. Allocating quick and specific biomarkers to predict the disease severity upon admission to hospital became a crucial need. This study, therefore, aimed at exploring the relationship between laboratory results in COVID‐19 patients admitted to hospital and the final outcome in these patients.

Methods

Retrospective analysis was performed on the medical records of 310 COVID‐19‐positive patients admitted to Uhod Hospital, the referral hospital in the area of Madinah, Kingdom of Saudi Arabia, between the April 13 and the July 29, 2020. The association of laboratory results with the survival/mortality outcomes was studied.

Results

It was demonstrated that lymphopenia, prolonged aPTT, high INR, high D. dimer and high CK are valuable prognostic predictors of the severity of the disease at early stages that can determine the outcome. Based on the results of the multiple logistic regression, the variables that are associated with death outcome are aPTT, HR, RR, ALT and CK level

Conclusion

It is proposed to perform these tests on admission to hospital for moderate to severe COVID‐19 patients to improve the management of those cases and reduce mortality.

Combined and interactive effects of alcohol drinking and cigarette smoking on the risk of severe illness and poor clinical outcomes in patients with COVID-19: A multicentre retrospective cohort study

Objectives

Cigarette smoking is an established risk factor for illness severity and adverse outcomes in patients with COVID-19. Alcohol drinking may also be a potential risk factor for disease severity. However, the combined and interactive effects of drinking and smoking on COVID-19 have not yet been reported. This study aimed to examine the combined and interactive effects of alcohol drinking and cigarette smoking on the risk of severe illness and poor outcomes in patients with COVID-19.

Study design

This was a multicentre retrospective cohort study.

Methods

This study retrospectively reviewed the data of 1399 consecutive hospitalised COVID-19 patients from 43 designated hospitals. Patients were grouped according to different combinations of drinking and smoking status. Multivariate mixed-effects logistic regression models were used to estimate the combined and interactive effects of drinking and smoking on the risk of severe COVID-19 and poor clinical outcomes.

Results

In the study population, 7.3% were drinkers/smokers, 4.3% were drinkers/non-smokers and 4.9% were non-drinkers/smokers. After controlling for potential confounders, smokers or drinkers alone did not show a significant increase in the risk of severe COVID-19 or poor clinical outcomes compared with non-drinkers/non-smokers. Moreover, this study did not observe any interactive effects of drinking and smoking on COVID-19. Drinkers/smokers had a 62% increased risk (odds ratio = 1.62, 95% confidence interval: 1.01-2.60) of severe COVID-19 but did not have a significant increase in the risk for poor clinical outcomes compared with non-drinkers/non-smokers.

Conclusions

Combined exposure to drinking and smoking increases the risk of severe COVID-19, but no direct effects of drinking or smoking, or interaction effects of drinking and smoking, were detected.

Comprehensive evaluation of COVID-19 patient short- and long-term outcomes: Disparities in healthcare utilization and post-hospitalization outcomes

BACKGROUND

Understanding risk factors for short- and long-term COVID-19 outcomes have implications for current guidelines and practice. We study whether early identified risk factors for COVID-19 persist one year later and through varying disease progression trajectories.

METHODS

This was a retrospective study of 6,731 COVID-19 patients presenting to Michigan Medicine between March 10, 2020 and March 10, 2021. We describe disease progression trajectories from diagnosis to potential hospital admission, discharge, readmission, or death. Outcomes pertained to all patients: rate of medical encounters, hospitalization-free survival, and overall survival, and hospitalized patients: discharge versus in-hospital death and readmission. Risk factors included patient age, sex, race, body mass index, and 29 comorbidity conditions.

RESULTS

Younger, non-Black patients utilized healthcare resources at higher rates, while older, male, and Black patients had higher rates of hospitalization and mortality. Diabetes with complications, coagulopathy, fluid and electrolyte disorders, and blood loss anemia were risk factors for these outcomes. Diabetes with complications, coagulopathy, fluid and electrolyte disorders, and blood loss were associated with lower discharge and higher inpatient mortality rates.

CONCLUSIONS

This study found differences in healthcare utilization and adverse COVID-19 outcomes, as well as differing risk factors for short- and long-term outcomes throughout disease progression. These findings may inform providers in emergency departments or critical care settings of treatment priorities, empower healthcare stakeholders with effective disease management strategies, and aid health policy makers in optimizing allocations of medical resources.

Retrospective screening for SARS-CoV-2 among influenza-like illness hospitalizations: 2018-2019 and 2019-2020 seasons, Valencia region, Spain

On 9 March 2020, the World Health Organization (WHO) Global Influenza Programme (GIP) asked participant sites on the Global Influenza Hospital Surveillance Network (GIHSN) to contribute to data collection concerning severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). We re‐analysed 5833 viral RNA archived samples collected prospectively from hospital admissions for influenza‐like illness (ILI) in the Valencia Region of Spain by the Valencia Hospital Surveillance Network for the Study of Influenza and Other Respiratory Viruses (VAHNSI) network (four hospitals, catchment area population 1 118 732) during the pre‐pandemic 2018/2019 (n = 4010) and pandemic 2019/2020 (n = 1823) influenza seasons for the presence of SARS‐CoV‐2. We did not find evidence for community‐acquired SARS‐CoV‐2 infection in hospital admissions for ILI in our region before early March 2020.

Elderly adults with COVID-19 admitted to intensive care unit: A narrative review

BACKGROUND

In the context of the Coronavirus disease 2019 (COVID-19) pandemic, it has been reported that elderly patients are particularly at risk of developing severe illness and exhibiting increased mortality. While many studies on hospitalized elderly patients with COVID-19 have been published, limited information is available on the characteristics and clinical outcomes of those elderly patients admitted to intensive care unit (ICU).

AIM

To review the available evidence of the clinical data of elderly patients admitted to the ICU due to COVID-19.

METHODS

We searched for published articles available in English literature to identify those studies conducted in critically ill patients admitted to the ICU due to COVID-19, either exclusively designed for the elderly or for the whole ICU population with COVID-19, provided that analyses according to the patients’ age had been conducted.

RESULTS

Only one study exclusively focusing on critically ill elderly patients admitted to the ICU due to COVID-19 was found. Eighteen additional studies involving 17011 ICU patients and providing information for elderly patients as a subset of the whole study population have also been included in the present review article. Among the whole patient population, included in these studies, 8310 patients were older than 65 years of age and 2630 patients were older than 70 years. Clinical manifestations were similar for all patients; however, compared to younger ones, they suffered from more comorbidities and showed a varied, albeit high mortality.

CONCLUSION

In summary, at present, although elderly patients constitute a considerable proportion of critically ill patients admitted to the ICU due to severe COVID-19, studies providing specific information are limited. The evidence so far suggests that advanced age and comorbidities are associated with worse clinical outcome. Future studies exclusively designed for this vulnerable group are needed.

Neurological Manifestations in COVID-19 Patients: A Meta-Analysis

Common symptoms such as dizziness, headache, olfactory dysfunction, nausea, vomiting, etc. in COVID-19 patients have indicated the involvement of the nervous system. However, the exact association of the nervous system with COVID-19 infection is still unclear. Thus, we have conducted a meta-analysis of clinical studies associated with neurological problems in COVID-19 patients. We have searched for electronic databases with MeSH terms, and the studies for analysis were selected based on inclusion and exclusion criteria and quality assessment. The Stats Direct (version 3) was used for the analysis. The pooled prevalence with 95% confidence interval of various neurological manifestations reported in the COVID-19 patients was found to be headache 14.6% (12.2-17.2), fatigue 33.6% (29.5-37.8), olfactory dysfunction 26.4% (21.8-31.3), gustatory dysfunction 27.2% (22.3-32.3), vomiting 6.7% (5.5-8.0), nausea 9.8% (8.1-11.7), dizziness 6.7% (4.7-9.1), myalgia 21.4% (18.8-24.1), seizure 4.05% (2.5-5.8), cerebrovascular diseases 9.9% (6.8-13.4), sleep disorders 14.9% (1.9-36.8), altered mental status 17.1% (12.3-22.5), neuralgia 2.4% (0.8-4.7), arthralgia 19.9% (15.3-25.0), encephalopathy 23.5% (14.3-34.1), encephalitis 0.6% (0.2-1.3), malaise 38.3% (24.7-52.9), confusion 14.2% (6.9-23.5), movement disorders 5.2% (1.7-10.4), and Guillain-Barre syndrome 6.9% (2.3-13.7). However, the heterogeneity among studies was found to be high. Various neurological manifestations related to the central nervous system (CNS) and peripheral nervous system (PNS) are associated with COVID-19 patients.

Inflammation at the Crossroads: the Combined Effects of COVID-19, Ageing, and Air Pollution

The global COVID-19 pandemic has highlighted different vulnerability profiles among individuals. With the highest mortality rate, the elderly are a very sensitive group. With regard to the main symptoms, a failure of the respiratory system, associated with deregulation of the immune system, has been observed. These symptoms may also be encountered in chronic exposure of susceptible populations to air pollution, including exacerbation of the inflammatory response. Is there a relationship between age, pollution exposure and the severity of COVID-19? Although it is unclear how these parameters are related, the same pathways can be activated and appear to find a common mechanism of action in inflammation.

Comparison of the clinical characteristics of patients with novel coronavirus pneumonia between China and overseas

BACKGROUND

To explore the clinical manifestation, imaging examination, and serology of patients with novel coronavirus pneumonia (COVID-19) between China and overseas.

METHODS

Ninety patients with COVID-19 who admitted to Fuzhou Pulmonary Hospital from January 23, 2020, to May 1, 2020, were included in this retrospective study. They were divided into domestic group and overseas group according to the origin regions. The clinical manifestations, imaging examination, serology, treatment, and prognosis between the two groups were compared and analyzed.

RESULTS

The clinical manifestations of patients in the two groups mainly included fever (83.1% and 47.4%), cough (62% and 31.6%), expectoration (47.9% and 31.6%), anorexia (28.2% and 47.4%), fatigue (21.1% and 10.5%), and dyspnea (22.5% and 0%). The main laboratory characteristics in the two groups were decreased lymphocyte count, increased lactate dehydrogenase, decreased oxygenation index, decreased white blood cell count, increased erythrocyte sedimentation rate (ESR), and increased C-reactive protein. The computed tomography (CT) examinations of chest showed bilateral and peripheral involvement, with multiple patch shadows and ground glass shadows. However, pleural effusions were rare.

CONCLUSION

Fever, cough, and dyspnea are more common in domestic cases than overseas cases. However, patients with COVID-19 from overseas may have the symptoms of loss of taste and smell that domestic cases do not have.

The role and significance of angiotensin-converting enzyme 2 peptides in the treatment of coronavirus disease 2019

Since the end of 2019, coronavirus disease 2019 (COVID‐19) caused by the novel coronavirus (2019‐nCoV) posed a serious threat to human health and life. Therefore, the discovery of drugs that can effectively prevent and treat COVID‐19 is urgently warranted. In this article, the role and significance of angiotensin‐converting enzyme 2 in drug development and the treatment of COVID‐19 are discussed. It was found that the binding of ACE2 to SARS‐CoV‐2‐RBD involved two core regions (31st and 353rd lysine) and 20 amino acids of the ACE2 protein. The mutation of these amino acids could lead to a great change of the binding ability of ACE2 and SARS‐CoV‐2‐RBD. This information was important for us to find more efficient ACE2 peptides to block the 2019‐nCoV infection. So during this study, we summarized the role of ACE2 in the regulation of 2019‐nCoV infection and stress, and hypothesized that the development and optimization of ACE2 peptide can effectively block 2019‐nCoV infection and reliably treat the COVID‐19.

The spatiotemporal trend of renal involvement in COVID-19: A pooled analysis of 17 134 patients

BACKGROUND

The spatiotemporal trend of renal involvement in coronavirus disease 2019 (COVID-19) patients is still unclear. Therefore, the aim of this study was to reveal the dynamics of renal involvement superimposed COVID-19 according to time and space.

METHODS

COVID-19 patients reporting renal involvement were included in this study. The following information was collected from relevant articles: first author, patient demographics, patient enrollment period, location, definition of acute kidney injury (AKI), prevalence of AKI, and use of renal replacement therapy (RRT).

RESULTS

A total of 17 134 patients were finally included. The overall prevalence of AKI in COVID-19 patients was 19%, with 7% of them undergoing RRT. The overall risk of AKI in patients enrolled before March 1, 2020 (9%) was significantly lower than that after March 1, 2020 (36%) (P < 0.00001). Moreover, the overall risk of AKI outside Asia (35%) was significantly higher than that in Asia (10%) (P < 0.00001). Additionally, similar to patients requiring RRT, AKI patients were more likely to become seriously ill or even to die (P < 0.00001).

CONCLUSIONS

This study found that renal involvement superimposed COVID-19, a comorbidity portending a poor prognosis, has become an increasingly serious problem over time and is more common outside Asia. Thus, more attention should be paid to the management of this specific group of patients.

Respiratory supports of COVID-19 patients in intensive care unit: A systematic review

INTRODUCTION

We aimed to describe the respiratory supports and determine their association with clinical outcomes of COVID-19 patients in intensive care unit (ICU).

METHODS

A systemic literature search was conducted in PubMed, EMBASE, MedRxiv and BioRxiv database from December 2019 to 2 July 2020. Studies reporting the application of respiratory supports in COVID-19 patients admitted to ICU were included.

RESULTS

Forty studies with 15320 COVID-19 patients were included in this systematic review. The proportion of invasive mechanical ventilation (IMV) application in ICU patients with COVID-19 was 73.8%. Further analysis elucidated that the use rate of IMV in Asia, Europe and North America was 47%, 76.2% and 80.2%, respectively. The proportion of patients treated with prone positioning and IMV was 29.4%. 25.5% of COVID-19 patients requiring IMV developed ventilator-associated pneumonia. The mortality of patients treated with IMV was 51.1%, while only 17.5% of critically ill COVID-19 patients treated with non-IMV respiratory support died. Additionally, the utilization rate of IMV in non-survival patients was shown 17.26-folds (95%CI 2.89-103.24, p = 0.002) higher than that in survival patients, while the use rate of ECMO was no significant difference.

CONCLUSIONS

Our findings highlight respiratory supports of COVID-19 patients admitted to ICU in different continents. IMV is a life-saving strategy for critically ill COVID-19 patients with ARDS, yet the mortality remains very high.

Differential diagnosis of coronavirus disease 2019 pneumonia or influenza A pneumonia by clinical characteristics and laboratory findings

Background

Pneumonia caused by the 2019 novel Coronavirus (COVID‐2019) shares overlapping signs and symptoms, laboratory findings, imaging features with influenza A pneumonia. We aimed to identify their clinical characteristics to help early diagnosis.

Methods

We retrospectively retrieved data for laboratory‐confirmed patients admitted with COVID‐19–induced or influenza A–induced pneumonia from electronic medical records in Ningbo First Hospital, China. We recorded patients' epidemiological and clinical features, as well as radiologic and laboratory findings.

Results

The median age of influenza A cohort was higher and it exhibited higher temperature and higher proportion of pleural effusion. COVID‐19 cohort exhibited higher proportions of fatigue, diarrhea and ground‐glass opacity and higher levels of lymphocyte percentage, absolute lymphocyte count, red‐cell count, hemoglobin and albumin and presented lower levels of monocytes, c‐reactive protein, aspartate aminotransferase, alkaline phosphatase, serum creatinine. Multivariate logistic regression analyses showed that fatigue, ground‐glass opacity, and higher level of albumin were independent risk factors for COVID‐19 pneumonia, while older age, higher temperature, and higher level of monocyte count were independent risk factors for influenza A pneumonia.

Conclusions

In terms of COVID‐19 pneumonia and influenza A pneumonia, fatigue, ground‐glass opacity, and higher level of albumin tend to be helpful for diagnosis of COVID‐19 pneumonia, while older age, higher temperature, and higher level of monocyte count tend to be helpful for the diagnosis of influenza A pneumonia.

Antibiotic prescribing in patients with COVID-19: rapid review and meta-analysis

Background

The proportion of patients infected with SARS-CoV-2 that are prescribed antibiotics is uncertain, and may contribute to patient harm and global antibiotic resistance.

Objective

The aim was to estimate the prevalence and associated factors of antibiotic prescribing in patients with COVID-19.

Data Sources

We searched MEDLINE, OVID Epub and EMBASE for published literature on human subjects in English up to June 9 2020.

Study Eligibility Criteria

We included randomized controlled trials; cohort studies; case series with ≥10 patients; and experimental or observational design that evaluated antibiotic prescribing.

Participants

The study participants were patients with laboratory-confirmed SARS-CoV-2 infection, across all healthcare settings (hospital and community) and age groups (paediatric and adult).

Methods

The main outcome of interest was proportion of COVID-19 patients prescribed an antibiotic, stratified by geographical region, severity of illness and age. We pooled proportion data using random effects meta-analysis.

Results

We screened 7469 studies, from which 154 were included in the final analysis. Antibiotic data were available from 30 623 patients. The prevalence of antibiotic prescribing was 74.6% (95% CI 68.3–80.0%). On univariable meta-regression, antibiotic prescribing was lower in children (prescribing prevalence odds ratio (OR) 0.10, 95% CI 0.03–0.33) compared with adults. Antibiotic prescribing was higher with increasing patient age (OR 1.45 per 10 year increase, 95% CI 1.18–1.77) and higher with increasing proportion of patients requiring mechanical ventilation (OR 1.33 per 10% increase, 95% CI 1.15–1.54). Estimated bacterial co-infection was 8.6% (95% CI 4.7–15.2%) from 31 studies.

Conclusions

Three-quarters of patients with COVID-19 receive antibiotics, prescribing is significantly higher than the estimated prevalence of bacterial co-infection. Unnecessary antibiotic use is likely to be high in patients with COVID-19.

Prediction of adverse clinical outcomes in patients with coronavirus disease 2019

OBJECTIVE

This study aims to investigate blood and biochemical laboratory findings in patients with coronavirus disease (COVID-19) and analyze the potential predictors of poor outcome in patients with COVID-19.

METHODS

The clinical, laboratory, and outcome data of 87 patients with COVID-19 were collected and retrospectively analyzed. Only data collected at the time of admission were used in the analysis for predictors of poor outcome. These patients were divided into two groups: the adverse prognosis group (36 patients) and the non-adverse prognosis group (51 patients). The adverse prognosis of COVID-19 patients was defined as admission to the intensive care unit or death.

RESULTS

On the univariate analysis, age, white blood cell (WBC) count, neutrophil counts, lymphocytes count, neutrophils-to-lymphocytes ratio (NLR), interleukin-6, albumin-to-globulin ratio (AGR), albumin, lactate dehydrogenase, glutamyl transpeptidase, and blood glucose were found to be the significant predictors. On the multivariate analysis, the predictors of poor outcome of patients with COVID-19 were NLR (OR = 2.741, [95% CI = 1.02 ~ 7.35], P = .045) and IL-6 (OR = 1.405, [95% CI = 1.04 ~ 1.89, P = .025]). The receiver operating characteristic (ROC) curve revealed that the AUC of NLR, interleukin-6, pneumonia severity index (PSI) score, and Confusion-Urea-Respiratory Rate-Blood pressure-65 (CURB-65) score were 0.883, 0.852, 0.824, and 0.782, respectively.

CONCLUSION

High interleukin-6 (6 pg/mL, cuff value) and NLR (4.48, cuff value) can be used to predict poor outcomes in patients with COVID-19 on admission, thus can serve as a beneficial tool for timely identifying COVID-19 patients prone to poor outcome and reduce patient mortality through early intervention.

Cardiac injury is associated with inflammation in geriatric COVID-19 patients

BACKGROUND

Geriatric patients with coronavirus disease (COVID-19) are at high risk of developing cardiac injury. Identifying the factors that affect high-sensitivity cardiac troponin I may indicate the cause of cardiac injury in elderly patients, and this could hopefully assist in protecting heart function in this patient population.

METHODS

One hundred and eighty inpatients who were admitted for COVID-19 were screened. Patients older than 60 years were included in this study, and the clinical characteristics and laboratory results of the cohort were analyzed. The correlation between cardiac injury and clinical/laboratory variables was statistically analyzed, and further logistic regression was performed to determine how these variables influence cardiac injury in geriatric patients.

RESULTS

Age (p < 0.001) significantly correlated with cardiac injury, whereas sex (p = 0.372) and coexisting diseases did not. Rising procalcitonin (p = 0.001), interleukin-2 receptor (p < 0.001), interleukin 6 (p = 0.001), interleukin 10 (p < 0.001), tumor necrosis factor α (p = 0.001), high-sensitivity C-reactive protein (p = 0.001), D-dimer (p < 0.001), white blood cells (p < 0.001), neutrophils (p = 0.001), declining lymphocytes (p < 0.001), and natural killer cells (p = 0.005) were associated with cardiac injury and showed predictive ability in the multivariate logistic regression.

CONCLUSION

Our results suggest that age and inflammatory factors influence cardiac injury in elderly patients. Interfering with inflammation in this patient population may potentially confer cardiac protection.

Exacerbation of liver dysfunction in non-alcoholic steatohepatitis patients during the coronavirus disease 2019 (COVID-19) pandemic

Many people were forced to stay at home, including non-alcoholic steatohepatitis (NASH) patients, however it is unclear how this home-life has affected the prognosis of NASH. In this study, we examined the influences of living at home during the coronavirus disease 2019 (COVID-19) pandemic NASH patients. In this study, we compared the clinical parameters of NASH patients without COVID-19 infection 3 months before with those 3 months after the declaration of a state of emergency. In the results, the changes of aspartate transaminase and alanine aminotransferase in the 3 months before (aspartate transaminase, -3.6 ± 13.8 U/L; alanine aminotransferase, -6.8 ± 19.5 U/L) was significantly exacerbated in the 3 months after (aspartate transaminase, 2.3 ± 7.5 U/L; alanine aminotransferase, 1.7 ± 10.4 U/L). Furthermore, the changes of the fibrosis-4 index in the 3 months before (-0.27 ± 0.84) was also significantly exacerbated in the 3 months after (0.38 ± 0.96). In conclusion, liver dysfunctions in NASH patients were exacerbated due to the emergency declaration and outing restriction which accompanied COVID-19.

Mortality in COVID-19 patients with acute respiratory distress syndrome and corticosteroids use: a systematic review and meta-analysis

OBJECTIVES

The acute respiratory distress syndrome (ARDS) secondary to viral pneumonitis is one of the main causes of high mortality in patients with COVID-19 (novel coronavirus disease 2019). We systematically reviewed mortality in COVID-19 patients with ARDS and the potential role of systemic corticosteroids in COVID-19 patients.

METHODS

Electronic databases and country-specific healthcare databases were searched to identify relevant studies/reports. The quality assessment of individual studies was conducted using the Newcastle-Ottawa Scale. Country-specific proportion of individuals with COVID-19 who developed ARDS and reported death were combined in a random-effect meta-analysis to give a pooled mortality estimate of ARDS.

RESULTS

The overall pooled mortality estimate among 10,815 ARDS cases in COVID-19 patients was 39% (95% CI: 23-56%). The pooled mortality estimate for China was 69% (95% CI: 67-72%). In Europe, the highest mortality estimate among COVID-19 patients with ARDS was reported in Poland (73%; 95% CI: 58-86%) while Germany had the lowest mortality estimate (13%; 95% CI: 2-29%) among COVID-19 patients with ARDS. The median crude mortality rate of COVID-19 patients with reported corticosteroid use was 28.0% (lower quartile: 13.9%; upper quartile: 53.6%).

CONCLUSIONS

The high mortality in COVID-19 associated ARDS necessitates a prompt and aggressive treatment strategy which includes corticosteroids. Most of the studies included no information on the dosing regimen of corticosteroid therapy, however, low-dose corticosteroid therapy or pulse corticosteroid therapy appears to have a beneficial role in the management of severely ill COVID-19 patients.

Clinical characteristics and factors affecting the duration of positive nucleic acid test for patients of COVID-19 in XinYu, China

Background

The outbreak of a new coronavirus, COVID‐19, which was earliest reported in Wuhan, China, is now transmitting throughout the world. The aim of this study was to articulate the clinical characteristics of COVID‐19 and to reveal possible factors that may affect the persistent time of positive SARS‐CoV‐2 nucleic acid test, so as to identify which patients may deteriorate or have poor prognoses as early as possible.

Methods

Retrospective cohort study was carried out on 47 patients with confirmed COVID‐19 infection admitted to XinYu People's Hospital of JiangXi Province. Epidemiological, demographic, clinical, laboratorial, management, treatment, and outcome data were also collected and analyzed.

Results

In this study, patients were divided into two groups based on whether their SARS‐CoV‐2 nucleic acid tests in respiratory specimens turn negative within (Group Rapid or Group R) or over (Group Slow or Group S) a week. There was no significant difference in age, sex, travel or exposure history, and smoking history between the two groups. Forty‐two patients had been observed with comorbidities. Similar clinical manifestations, for instance fever, cough, sputum, and fatigue, have been observed among patients in both groups, except that patients in Group S were obviously more likely to get fatigue than patients in Group R. Both groups had shown decrease in white blood cell or lymphocyte counts. Chest X‐ray or computed tomography scan showed unilateral or bilateral infiltrates. High proportion in both groups has used nasal cannula (89.47% vs. 85.71%) to inhale oxygen. 10.53% of Group S have applied high‐flow nasal cannula, while Group R used none. The current treatment is mainly antibiotics, antiviral, and traditional Chinese medicine, while a couple of patients has used methylprednisolone. Only 1 patient out of both groups got even worse despite this active treatment.

Conclusion

Clinical characteristics of COVID‐19 include the exposure history and typical systemic symptoms such as fever, cough, fatigue, decreased WBC and lymphocyte counts, and infiltration in both lower lobes on CT imaging. Among them, fatigue appears to be an important factor that affects the duration of positive SARS‐CoV‐2 nucleic acid test in respiratory specimens.

Analysis of clinical features and outcomes of 161 patients with severe and critical COVID-19: A multicenter descriptive study

BACKGROUND

This study aimed to investigate clinical characteristics, laboratory indexes, treatment regimens, and short-term outcomes of severe and critical coronavirus disease 2019 (COVID-19) patients.

METHODS

One hundred and sixty one consecutive severe and critical COVID-19 patients admitted in intensive care unit (ICU) were retrospectively reviewed in this multicenter study. Demographic features, medical histories, clinical symptoms, lung computerized tomography (CT) findings, and laboratory indexes on admission were collected. Post-admission complications, treatment regimens, and clinical outcomes were also documented.

RESULTS

The mean age was 59.38 ± 16.54 years, with 104 (64.60%) males and 57 (35.40%) females. Hypertension (44 [27.33%]) and diabetes were the most common medical histories. Fever (127 [78.88%]) and dry cough (111 [68.94%]) were the most common symptoms. Blood routine indexes, hepatic and renal function indexes, and inflammation indexes were commonly abnormal. Acute respiratory distress syndrome (ARDS) was the most common post-admission complication (69 [42.86%]), followed by electrolyte disorders (48 [29.81%]), multiple organ dysfunction (MODS) (37 [22.98%]), and hypoproteinemia (36 [22.36%]). The most commonly used antiviral drug was lopinavir/ritonavir tablet. 50 (31.06%) patients died, while 78 (48.45%) patients healed and discharged, and the last 33 (20.50%) patients remained in hospital. Besides, the mean hospital stay of deaths was 21.66 ± 11.18 days, while the mean hospital stay of discharged patients was 18.42 ± 12.77 days. Furthermore, ARDS (P < .001) and MODS (P = .008) correlated with increased mortality rate.

CONCLUSION

Severe and critical COVID-19 presents with high mortality rate, and occurrence of ARDS or MODS greatly increases its mortality risk.