Effect of comorbid pulmonary disease on the severity of COVID-19: A systematic review and meta-analysis

Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms

Background

COVID-19 is primarily known as a respiratory illness; however, many patients present to hospital without respiratory symptoms. The association between non-respiratory presentations of COVID-19 and outcomes remains unclear. We investigated risk factors and clinical outcomes in patients with no respiratory symptoms (NRS) and respiratory symptoms (RS) at hospital admission.

Methods

This study describes clinical features, physiological parameters, and outcomes of hospitalised COVID-19 patients, stratified by the presence or absence of respiratory symptoms at hospital admission. RS patients had one or more of: cough, shortness of breath, sore throat, runny nose or wheezing; while NRS patients did not.

Results

Of 178,640 patients in the study, 86.4 % presented with RS, while 13.6 % had NRS. NRS patients were older (median age: NRS: 74 vs RS: 65) and less likely to be admitted to the ICU (NRS: 36.7 % vs RS: 37.5 %). NRS patients had a higher crude in-hospital case-fatality ratio (NRS 41.1 % vs. RS 32.0 %), but a lower risk of death after adjusting for confounders (HR 0.88 [0.83-0.93]).

Conclusion

Approximately one in seven COVID-19 patients presented at hospital admission without respiratory symptoms. These patients were older, had lower ICU admission rates, and had a lower risk of in-hospital mortality after adjusting for confounders.

Characteristics of SLE patients with symptomatic COVID-19: Single centre experience at Sultan Qaboos University Hospital over a 30-month period

BACKGROUND

COVID-19 pandemic was declared by WHO in March 2020. Severity of disease varied from asymptomatic to fatal infection. Severe disease was found to be associated with hyperinflammation syndrome. Systemic lupus erythematosus (SLE) is treated with various immunosuppressive agents, intensity of which depends on the severity of the disease. We aimed to study the characteristic of SLE patients infected with COVID-19.

METHODS

352 patients with SLE were included in this observational cross-section study conducted over a 30-month period beginning from 24th February 2020 (first COVID cases documented in Oman) until end of July 2022. Data were retrieved from electronic medical records and through questionnaire handed to patients in OPD or filled through phone calls.

RESULTS

40.6% of SLE patients developed COVID-19 infection with mean age of 37 years and maintaining their male to female ratio as in SLE disease. Majority of the patients in both COVID-infected and non-infected groups had SLE disease activity of zero. Sore throat and cough were present in almost all patients. Other common symptoms were myalgia/arthralgia (94%) followed by fever. Significant difference between the groups was in severity of SLE and in lung involvement. No difference was noted between the two groups in other parameters including regarding the frequency of medication.

CONCLUSIONS

This is the first study of COVID-19 in SLE patients in the Gulf Council Countries (GCCs). A significant difference between COVID-infected and uninfected groups was seen in the SLE disease activity and whether lung was involved in the SLE patients. We found no impact for DM, HTN, BMI, IHD, lupus nephrites of SLE medication on COVID-19 infection.

Host Genetic Factors, Comorbidities and the Risk of Severe COVID-19

BACKGROUND

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was varied in disease symptoms. We aim to explore the effect of host genetic factors and comorbidities on severe COVID-19 risk.

METHODS

A total of 20,320 COVID-19 patients in the UK Biobank cohort were included. Genome-wide association analysis (GWAS) was used to identify host genetic factors in the progression of COVID-19 and a polygenic risk score (PRS) consisted of 86 SNPs was constructed to summarize genetic susceptibility. Colocalization analysis and Logistic regression model were used to assess the association of host genetic factors and comorbidities with COVID-19 severity. All cases were randomly split into training and validation set (1:1). Four algorithms were used to develop predictive models and predict COVID-19 severity. Demographic characteristics, comorbidities and PRS were included in the model to predict the risk of severe COVID-19. The area under the receiver operating characteristic curve (AUROC) was applied to assess the models' performance.

RESULTS

We detected an association with rs73064425 at locus 3p21.31 reached the genome-wide level in GWAS (odds ratio: 1.55, 95% confidence interval: 1.36-1.78). Colocalization analysis found that two genes (SLC6A20 and LZTFL1) may affect the progression of COVID-19. In the predictive model, logistic regression models were selected due to simplicity and high performance. Predictive model consisting of demographic characteristics, comorbidities and genetic factors could precisely predict the patient's progression (AUROC = 82.1%, 95% CI 80.6-83.7%). Nearly 20% of severe COVID-19 events could be attributed to genetic risk.

CONCLUSION

In this study, we identified two 3p21.31 genes as genetic susceptibility loci in patients with severe COVID-19. The predictive model includes demographic characteristics, comorbidities and genetic factors is useful to identify individuals who are predisposed to develop subsequent critical conditions among COVID-19 patients.

Risk factors and outcomes of delirium in hospitalized older adults with COVID-19: A systematic review and meta-analysis

Background

Older adults with COVID-19 are more likely to present with atypical symptoms, notably delirium. The main objective of this meta-analysis is to identify risk factors for delirium and outcomes of delirium in hospitalized older adults (65 years or above) with COVID-19.

Methods

Comprehensive literature search of Embase, CINAHIL, Medline and Web of Science was performed for published literature until 31st August 2021. Two independent researchers evaluated study eligibility and assessed study quality using the Newcastle Ottawa Scale (NOS) for cohort studies and Joanna Briggs Institute (JBI) critical appraisal tools for case series. The association of various predisposing factors with delirium in this cohort was reported as odds ratio (OR) and its 95% confidence interval (CI).

Results

A total of 31 studies from 11 countries were included in this review. Most of the included studies investigated patients from non-ICU settings (n = 24; 77.4%). Frailty (OR 3.52, 95% CI: 1.96-6.31, p<0.0001, I²=71.63%), cognitive impairment including dementia (OR 6.17, 95% CI: 2.92-13.07, p<0.00001, I²=88.63%) and being nursing home residents (OR 1.72, 95% CI: 1.31-2.24, p<0.0001, I²=0) were significantly associated with increased likelihood of developing delirium in older adults with COVID-19. The presence of delirium also significantly increases mortality risk in hospitalized older adults with COVID-19 (OR 2.51, 95% CI: 1.51-4.17, p<0.0001, I²=89.3%).

Conclusion

Our review identifies key factors associated with increased risk of developing delirium in hospitalized older adults with COVID-19. Identification of patients at risk of delirium and attention to these factors early during admission may improve outcomes for this vulnerable cohort.

The Role of Immunosuppression in the Development of COVID-19 in Systemic Lupus Erythematosus Patients: A Brief Report

Recently, due to the coronavirus disease 2019 (COVID-19) pandemic, much concern has been raised about patients with chronic diseases who may become more susceptible to the disease. The present cross-sectional study aimed to characterize the clinical course of COVID-19 in patients with systemic lupus erythematosus (SLE). In addition, a possible correlation between the immunosuppression state and the incidence of COVID-19 is investigated. In May 2020, 500 SLE patients registered in the database of Golestan Rheumatology Research Center (Golestan province, Iran) were selected for this cross-sectional study. Using a questionnaire, patients were contacted by telephone to collect data including demographic characteristics, disease status, drug use, and new clinical symptoms. Data were analyzed using SPSS software version 24.0. Of the 500 selected patients, 355 responded to the phone calls and subsequently enrolled in the study. Among the enrolled patients, 25 were classified as COVID-19 positive, including eight hospitalized patients, of which two required intensive care and subsequently died. COVID-19 incidence was significantly lower in the immunosuppressed patients (2.2% vs. 10%, P=0.01). There was no significant correlation between hydroxychloroquine consumption and the incidence of COVID-19 in SLE patients. Fever, fatigue, dyspnea, and dry cough were the most common clinical symptoms. Our results showed that COVID-19 incidence was lower in immunosuppressed than the non-immunosuppressed SLE patients. Further studies are required to substantiate the role of immunosuppression in the development of COVID-19. A preprint version of this study was published at https://www.researchsquare.com/article/rs-78704/v1 with doi: https://doi.org/10.21203/rs.3.rs-78704/v1.

Clinical outcomes among hospitalized US adults with asthma or chronic obstructive pulmonary disease, with or without COVID-19

OBJECTIVE

This study assesses the risk of severe clinical outcomes during hospitalizations of adults with asthma and/or COPD plus COVID-19 and compares those risks with those during hospitalizations of adults with asthma and/or COPD without COVID-19.

METHODS

We used data from 877 U.S. hospitals from the Premier Healthcare Database during March 2020-March 2021. Hospitalizations (n = 311,215) among patients aged ≥18 years with an ICD-10-CM diagnosis involving asthma or COPD were classified into three groups: adults with asthma (but not COPD), adults with COPD (but not asthma), and adults with both asthma and COPD. We used multivariable Poisson regression to assess associations of severe clinical outcomes [intensive care unit (ICU) admission, use of invasive mechanical ventilation (IMV), and death] and COVID-19 status.

RESULTS

The percentage of hospitalizations among patients with asthma and COVID-19 resulting in ICU admission, IMV, and death were 46.9%, 14.0%, and 8.0%, respectively. These risks were higher than those among patients with asthma without COVID-19 (adjusted risk ratio [aRR], 1.17 [95% confidence interval (CI), 1.14-1.21], 1.61 [95% CI, 1.50-1.73], and 5.56 [95% CI, 4.89-6.32]), respectively. Risks of ICU admission, IMV, and death were also high among patients with COPD and COVID-19 and exceeded the corresponding risks among patients with COPD without COVID-19.

CONCLUSION

Hospitalizations among patients with asthma and/or COPD with COVID-19 had a more severe clinical course than hospitalizations for asthma and/or COPD exacerbations without COVID-19.

Supplemental data for this article is available online at at www.tandfonline.com/ijas .

In-hospital severe COVID-19 in a philanthropic tertiary hospital setting: is asthma a concern? A retrospective study

BACKGROUND

The frequency of coronavirus disease 2019 (COVID-19) cases among asthmatics has been reported to be reduced. However, the findings regarding the association between asthma and the risk of severe COVID-19 have been divergent.

OBJECTIVE

To investigate whether asthma is associated with a reduced risk of development of severe COVID-19.

DESIGN AND SETTING

Retrospective analysis on COVID-19 surveillance databases at two tertiary-level hospitals in São Paulo, Brazil.

METHODS

The medical records of patients hospitalized due to COVID-19 between March and August 2020 were reviewed in accordance with the clinical, laboratorial, radiological and epidemiological criteria for COVID-19, and for comorbidities.

RESULTS

Among the adult patients included (> 18 years of age) there were 52 asthmatics and 1,318 non-asthmatics. Their median ages and interquartile ranges (IQR) were, respectively, 54 (41-69) and 60 (44-72) years. At least one comorbidity was seen in 73% of asthmatics and 56% of the non-asthmatics. Among the asthmatics, most presented mild asthma (92%) and the prevalence of chronic obstructive pulmonary disease (COPD) was high (27%). The asthmatics presented an unadjusted odds ratio (OR) for severe COVID-19 of 0.89 (95% confidence interval, CI 0.5-1.56); and OR 0.88 (95% CI 0.5 -1.68) after multivariable adjustment. Age > 60 years, male sex, hypertension, diabetes, cancer and homelessness were covariates associated with increased odds for severe COVID-19. Kaplan-Meier estimated survival over hospitalization of up to 30 days did not differ between the groups (log-rank P = 0.09).

CONCLUSIONS

The association between asthma and decreased risk of severe COVID-19 or increased survival was statistically non-significant.

Impact of the SARS-CoV-2 Virus Pandemic on Patients with Bronchiectasis: A Multicenter Study

BACKGROUND

Infection by SARS-CoV-2 has unquestionably had an impact on the health of patients with chronic respiratory airway diseases, such as COPD and asthma, but little information is available about its impact on patients with bronchiectasis. The objective of the present study was to analyze the effect of the SARS-CoV-2 pandemic on the state of health, characteristics, and clinical severity (including the number and severity of exacerbations) of patients with non-cystic fibrosis bronchiectasis.

METHODS

This study was multicenter, observational, and ambispective (with data collected before and during the SARS-CoV-2 pandemic), and included 150 patients diagnosed with non-cystic fibrosis bronchiectasis.

RESULTS

A significant drop was observed in the number and severity of the exacerbations (57% in all exacerbations and 50% in severe exacerbations) in the E-FACED and BSI multidimensional scores, in the pandemic, compared with the pre-pandemic period. There was also a drop in the percentage of sputum samples positive for pathogenic microorganisms in general (from 58% to 44.7%) and, more specifically, Pseudomonas aeruginosa (from 23.3% to 13.3%) and Haemophilus influenzae (from 21.3% to 14%).

CONCLUSIONS

During the SARS-CoV-2 period, a significant reduction was observed in the exacerbations, severity, and isolations of pathogenic microorganisms in patients with bronchiectasis.

Assessing the impact of long-term exposure to nine outdoor air pollutants on COVID-19 spatial spread and related mortality in 107 Italian provinces

This paper investigates the air quality in 107 Italian provinces in the period 2014-2019 and the association between exposure to nine outdoor air pollutants and the COVID-19 spread and related mortality in the same areas. The methods used were negative binomial (NB) regression, ordinary least squares (OLS) model, and spatial autoregressive (SAR) model. The results showed that (i) common air pollutants-nitrogen dioxide (NO₂), ozone (O₃), and particulate matter (PM_2.5 and PM₁₀)-were highly and positively correlated with large firms, energy and gas consumption, public transports, and livestock sector; (ii) long-term exposure to NO₂, PM_2.5, PM₁₀, benzene, benzo[a]pyrene (BaP), and cadmium (Cd) was positively and significantly correlated with the spread of COVID-19; and (iii) long-term exposure to NO_2, O₃, PM_2.5, PM₁₀, and arsenic (As) was positively and significantly correlated with COVID-19 related mortality. Specifically, particulate matter and Cd showed the most adverse effect on COVID-19 prevalence; while particulate matter and As showed the largest dangerous impact on excess mortality rate. The results were confirmed even after controlling for eighteen covariates and spatial effects. This outcome seems of interest because benzene, BaP, and heavy metals (As and Cd) have not been considered at all in recent literature. It also suggests the need for a national strategy to drive down air pollutant concentrations to cope better with potential future pandemics.

A Calculator for COVID-19 Severity Prediction Based on Patient Risk Factors and Number of Vaccines Received

Vaccines have allowed for a significant decrease in COVID-19 risk, and new antiviral medications can prevent disease progression if given early in the course of the disease. The rapid and accurate estimation of the risk of severe disease in new patients is needed to prioritize the treatment of high-risk patients and maximize lives saved. We used electronic health records from 101,039 individuals infected with SARS-CoV-2, since the beginning of the pandemic and until 30 November 2021, in a national healthcare organization in Israel to build logistic models estimating the probability of subsequent hospitalization and death of newly infected patients based on a few major risk factors (age, sex, body mass index, hemoglobin A1C, kidney function, and the presence of hypertension, pulmonary disease, and malignancy) and the number of BNT162b2 mRNA vaccine doses received. The model’s performance was assessed by 10-fold cross-validation: the area under the curve was 0.889 for predicting hospitalization and 0.967 for predicting mortality. A total of 50%, 80%, and 90% of death events could be predicted with respective specificities of 98.6%, 95.2%, and 91.2%. These models enable the rapid identification of individuals at high risk for hospitalization and death when infected, and they can be used to prioritize patients to receive scarce medications or booster vaccination. The calculator is available online.

Contemporary Concise Review 2021: COVID-19 and other respiratory infections

Bats are likely the primary source of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2).

Minks are highly susceptible to infection by SARS‐CoV‐2.

Transmission from asymptomatic individuals was estimated to account for over 50% of all transmissions of coronavirus disease 2019 (COVID‐19) cases.

SARS‐CoV‐2 is evolving towards more efficient aerosol transmission.

Remdesivir, baricitinib, tocilizumab and dexamethasone are frequently used for the treatment of patients with respiratory failure due to COVID‐19.

There is a rising incidence of non‐tuberculous Mycobacterium pulmonary disease globally, with a higher prevalence in Asian countries than in the Western world.

Protracted bacterial bronchitis is a common cause of chronic productive cough in childhood.

Re‐emergence of respiratory syncytial virus may occur after the relaxation of infection control measures and the reopening of borders during COVID‐19 pandemic.

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.

Stress Hyperglycemia, Diabetes Mellitus and COVID-19 Infection: Risk Factors, Clinical Outcomes and Post-Discharge Implications

The novel severe acute respiratory distress syndrome-coronavirus 2 (SARS-CoV-2) has caused one of the most substantial pandemics that has affected humanity in the last century. At the time of the preparation of this review, it has caused the death of around 5 million people around the globe. There is ample evidence linking higher mortality risk rates from Coronavirus disease-19 (COVID-19) with male gender, advancing age and comorbidities, such as obesity, arterial hypertension, cardiovascular disease, chronic obstructive pulmonary disease, diabetes mellitus, and cancer. Hyperglycemia has been found to be accompanying COVID-19 not only in individuals with overt diabetes. Many authors claim that blood glucose levels should also be monitored in non-diabetic patients; moreover, it has been confirmed that hyperglycemia worsens the prognosis even without pre-existing diabetes. The pathophysiological mechanisms behind this phenomenon are complex, remain controversial, and are poorly understood. Hyperglycemia in the setting of COVID-19 could be a consequence of deterioration in pre-existing diabetes, new-onset diabetes, stress-induced or iatrogenic due to substantial usage of corticosteroids within the context of a severe COVID-19 infection. It is also plausible that it might be a result of adipose tissue dysfunction and insulin resistance. Last but not least, SARS-CoV-2 is also claimed to trigger sporadically direct β-cell destruction and β-cell autoimmunity. Pending further validations with longitudinal data are needed to legitimize COVID-19 as a potential risk factor for the development of diabetes. Hereby, we present an emphasized critical review of the available clinical data in an attempt to unravel the complex mechanisms behind hyperglycemia in COVID-19 infection. The secondary endpoint was to evaluate the bidirectional relationship between COVID-19 and diabetes mellitus. As the worldwide pandemic is still expanding, demand for answering these questions is arising. It will be of immense help for the management of COVID-19 patients, as well as for the implementation of post-discharge policies for patients with a high risk of developing diabetes.

Asthma, from mild to severe, is an independent prognostic factor for mild to severe Coronavirus disease 2019 (COVID‐19)

Background

Chronic illnesses were reported to be poor prognostic factors associated with severe illness and mortality in Coronavirus disease 2019 (COVID‐19) infection. The association with asthma, however, is limited and controversial, especially for mild asthma.

Methods

A territory wide retrospective study was conducted to investigate the association between asthma and the prognosis of COVID‐19. All patients with laboratory confirmed in Hong Kong for COVID‐19 from the 23 January to 30 September 2020 were included in the study. Severe diseases were defined as those who develop respiratory complications, systemic complications, and death.

Results

Among the 4498 patients included in the analysis, 165 had asthma, with 141 having mild asthma. Patients with asthma were significantly more likely to require invasive mechanical ventilation (incidence = 17.0% odds ratio [OR] = 4.765, p < 0.001), oxygen therapy (incidence = 39.4%, OR = 3.291, p < 0.001), intensive care unit admission (incidence = 21.2%, OR = 3.625, p < 0.001), and systemic steroid treatment (incidence = 34.5%, OR = 4.178, p < 0.001) and develop shock (incidence = 16.4%, OR = 4.061, p < 0.001), acute kidney injury (incidence = 6.1%, OR = 3.281, p = 0.033), and secondary bacterial infection (incidence = 56.4%, OR = 2.256, p < 0.001). They also had significantly longer length of stay. Similar findings were also found in patients with asthma of the Global Initiative for Asthma (GINA) steps 1 and 2 upon subgroup analysis.

Conclusions

Asthma, regardless of severity, is an independent prognostic factor for COVID‐19 and is associated with more severe disease with respiratory and systemic complications.

Both mild and severe asthma are independent prognostic factors for Coronavirus disease 2019 (COVID‐19). They are associated with more severe disease with respiratory and systemic complications.

Renin-angiotensin system blocker and the COVID-19 aggravation in patients with hypertension, diabetes, renal failure, Cerebro-cardiovascular disease, or pulmonary disease: Report by the COVID-19 REGISTRY JAPAN

Background

The role of angiotensin-converting enzyme inhibitors (ACEi) and angiotensin II receptor blockers (ARB) in the pandemic context of coronavirus disease 2019 (COVID-19) continues to be debated. Patients with hypertension, diabetes mellitus, chronic renal failure, cerebro-cardiovascular disease, or chronic obstructive pulmonary disease (COPD), who often use ACEi/ARB, may be at risk of severe COVID-19. However, there are no data available on the association of ACEi/ARB use with COVID-19 severity in this population.

Methods

This study is an observational study of patients with a positive severe acute respiratory syndrome coronavirus 2 test and inpatient treatment at a healthcare facility, using the registry information of COVIREGI-JP. Our primary outcomes were in-hospital death, ventilator support, extracorporeal membrane oxygenation support, and intensive care unit admission. Out of the 6055 patients, 1921 patients with preexisting hypertension, diabetes mellitus, chronic renal failure, cerebro-cardiovascular disease, or COPD were enrolled.

Results

Factors associated with an increased risk of the primary outcomes were aging, male sex, COPD, severe renal impairment, and diabetes mellitus. No correlations were observed with ACEi/ARB, cerebro-cardiovascular diseases, or hypertension. Associated factors in male patients were aging, renal impairment, hypertension, and diabetes. In female patients, factors associated with an increased risk were aging, ACEi/ARB, renal impairment, and diabetes, whereas hypertension was associated with a lower risk of the primary outcomes.

Conclusions

Independent factors for the primary outcomes were aging, male sex, COPD, severe renal impairment, and diabetes, but not ACEi/ARB. Based on this registry data analysis, more detailed data collection and analysis is needed with the cooperation of multiple healthcare facilities.

Impact of Diabetes and KL-6 on COVID-19 Severity; A Single Center Study from Japan

AIMS/INTRODUCTION

Diabetes mellitus is reported as a risk factor for increased COVID-19 severity and mortality, but there have been few reports from Japan. Associations between diabetes mellitus and COVID-19 severity and mortality were investigated in a single Japanese hospital.

MATERIALS AND METHODS

Patients ≥20 years of age admitted to Osaka City General Hospital for COVID-19 treatment between April, 2020 and March, 2021 were included in this retrospective, observational study. Multivariable logistic regression analysis was performed to examine whether diabetes mellitus contributes to COVID-19-related death and severity.

RESULTS

Of the 262 patients included, 108 (41.2%) required invasive ventilation, and 34 (13.0%) died in hospital. The diabetes group (n=92) was significantly older, more obese, had longer hospital stays, more severe illness, and higher mortality than the non-diabetes group (n=170). On multivariable logistic regression analysis, age (odds ratio (OR) 1.054 [95% confidence interval (CI) 1.023 - 1.086]), body mass index (OR 1.111 [95%CI 1.028 - 1.201]), history of diabetes mellitus (OR 2.429 [95%CI 1.152 - 5.123]), neutrophil count (OR 1.222 [95%CI 1.077 - 1.385]), CRP (OR 1.096 [95%CI 1.030 - 1.166]), and KL-6 (OR 1.002 [95%CI 1.000 - 1.003]) were predictors for COVID-19 severity (R² =0.468). Meanwhile, age (OR 1.104 [95%CI 1.037 - 1.175]) and KL-6 (OR 1.003 [95%CI 1.001 - 1.005]) were predictors for COVID-19-related death (R² =0.475).

CONCLUSIONS

Diabetes mellitus was a definite risk factor for COVID-19 severity in a single Japanese hospital treating moderately to severely ill patients.

The Effects of COVID-19 First Waves in Italy: An Answer Through a Retrospective Analysis of Mortality

Background

Despite the available evidence on its severity, COVID-19 has often been compared with seasonal flu by some conspirators and even scientists. Various public discussions arose about the noncausal correlation between COVID-19 and the observed deaths during the pandemic period in Italy.

Objective

This paper aimed to search for endogenous reasons for the mortality increase recorded in Italy during 2020 to test this controversial hypothesis. Furthermore, we provide a framework for epidemiological analyses of time series.

Methods

We analyzed deaths by age, sex, region, and cause of death in Italy from 2011 to 2019. Ordinary least squares (OLS) linear regression analyses and autoregressive integrated moving average (ARIMA) were used to predict the best value for 2020. A Grubbs 1-sided test was used to assess the significance of the difference between predicted and observed 2020 deaths/mortality. Finally, a 1-sample t test was used to compare the population of regional excess deaths to a null mean. The relationship between mortality and predictive variables was assessed using OLS multiple regression models. Since there is no uniform opinion on multicomparison adjustment and false negatives imply great epidemiological risk, the less-conservative Siegel approach and more-conservative Holm-Bonferroni approach were employed. By doing so, we provided the reader with the means to carry out an independent analysis.

Results

Both ARIMA and OLS linear regression models predicted the number of deaths in Italy during 2020 to be between 640,000 and 660,000 (range of 95% CIs: 620,000-695,000) against the observed value of above 750,000. We found strong evidence supporting that the death increase in all regions (average excess=12.2%) was not due to chance (t₂₁=7.2; adjusted P<.001). Male and female national mortality excesses were 18.4% (P<.001; adjusted P=.006) and 14.1% (P=.005; adjusted P=.12), respectively. However, we found limited significance when comparing male and female mortality residuals’ using the Mann-Whitney U test (P=.27; adjusted P=.99). Finally, mortality was strongly and positively correlated with latitude (R=0.82; adjusted P<.001). In this regard, the significance of the mortality increases during 2020 varied greatly from region to region. Lombardy recorded the highest mortality increase (38% for men, adjusted P<.001; 31% for women, P<.001; adjusted P=.006).

Conclusions

Our findings support the absence of historical endogenous reasons capable of justifying the mortality increase observed in Italy during 2020. Together with the current knowledge on SARS-CoV-2, these results provide decisive evidence on the devastating impact of COVID-19. We suggest that this research be leveraged by government, health, and information authorities to furnish proof against conspiracy hypotheses that minimize COVID-19–related risks. Finally, given the marked concordance between ARIMA and OLS regression, we suggest that these models be exploited for public health surveillance. Specifically, meaningful information can be deduced by comparing predicted and observed epidemiological trends.

Obstructive lung diseases burden and COVID-19 in developing countries: a perspective

PURPOSE OF REVIEW

Asthma and chronic obstructive pulmonary disease (COPD) are widely prevalent disorders, and important contributors to morbidity and mortality, in both developing and developed countries. It is conjectured that these obstructive lung diseases may have had more deleterious effects in developing nations during the 2019 coronavirus disease (COVID-19) pandemic. We provide an evidence-based perspective on the relationship between asthma/COPD prevalence and COVID-19 burden, and the impact of comorbid asthma/COPD on selected COVID-19 outcomes and healthcare utilization, with special reference to developing countries.

RECENT FINDINGS

Developing countries with higher COPD (but not asthma) prevalence appear to have higher COVID-19 related mortality. Patients with asthma (but not COPD) in developing countries may be less likely to acquire COVID-19. Published literature suggests that the overall impact of comorbid asthma or COPD on adverse COVID-19 outcomes may be broadly similar between developed and developing nations.

SUMMARY

There is paucity of information on interaction between asthma/COPD and COVID-19 in developing countries. Limited data suggest minor differences between developed and developing nations. In view of inadequacies in healthcare preparedness and delivery in several developing countries, there is a need to generate quality evidence to assess impact of obstructive lung diseases and COVID-19 on each other.

SARS-CoV-2 Gene Expression as a Prognosis Predictor for COVID-19

Introduction: Real time quantitative PCR is the gold standard for detection of SARS-CoV-2 which is specific, sensitive, and simple quantitative. The target of RT-qPCR is to assess the expression level of the SARS-CoV-2 gene through cycle threshold values (CT-value). The purpose of this study was to analyze the association of the level of SARS-CoV-2 gene expression and the severity of COVID-19 in patients hospitalized. Method: This research is an analytic observational study with cross sectional method. While the research sample was taken using a consecutive sampling technique from the Medical Records of Sumedang Hospital and Cideres Hospital, West Java, Indonesia from December 2020 to March 2021. Patient parameters include analysis of age, sex, comorbidity, and disease severity. The severity of the patient is classified based on complaints and oxygen saturation. The expression level of the SARS-CoV-2 N gene and E gene were assessed by calculating the relative quantification by comparing the expression of the E and N gene with the expression of the internal control gene by Livak formula (2-ΔΔCT Formula). Result: The Spearman correlation test showed that there was a relationship between the expression of SARS-CoV-2 genes E and N genes with the severity of COVID-19 patients (with r=0.374 and p<0.0001) and (with r=0.452 and p<0.0001). Conclusions:  There is an correlation between the level of expression of genes E and gene N with the severity of patients.  

Predicting COVID-19 severity using major risk factors and received vaccines

BACKGROUND

Vaccines are highly effective in preventing severe disease and death from COVID-19, and new medications that can reduce severity of disease have been approved. However, many countries are facing limited supply of vaccine doses and medications. A model estimating the probabilities for hospitalization and mortality according to individual risk factors and vaccine doses received could help prioritize vaccination and yet scarce medications to maximize lives saved and reduce the burden on hospitalization facilities.

METHODS

Electronic health records from 101,039 individuals infected with SARS-CoV-2, since the beginning of the pandemic and until November 30, 2021 were extracted from a national healthcare organization in Israel. Logistic regression models were built to estimate the risk for subsequent hospitalization and death based on the number of BNT162b2 mRNA vaccine doses received and few major risk factors (age, sex, body mass index, hemoglobin A1C, kidney function, and presence of hypertension, pulmonary disease and malignancy).

RESULTS

The models built predict the outcome of newly infected individuals with remarkable accuracy: area under the curve was 0.889 for predicting hospitalization, and 0.967 for predicting mortality. Even when a breakthrough infection occurs, having received three vaccination doses significantly reduces the risk of hospitalization by 66% (OR=0.339) and of death by 78% (OR=0.223).

CONCLUSIONS

The models enable rapid identification of individuals at high risk for hospitalization and death when infected. These patients can be prioritized to receive booster vaccination and the yet scarce medications. A calculator based on these models is made publicly available on http://covidest.web.app.

Prevalence and prognostic significance of chronic respiratory diseases among hospitalized patients with COVID-19 infection: a single-center study

Background

WHO recognized the COVID-19 outbreak in China as a pandemic crisis on March 11, 2020. Patients with chronic respiratory diseases (CRDs) have limited physiological reserve; this lead to the assumption that COVID-19 infection in such patients could carry worse prognosis.

Aim of study

To detect the prevalence and prognostic significance of CRDs among hospitalized patients with COVID-19 infection.

Methods

The study was carried out at Minia Cardiothoracic University Hospital; all hospitalized COVID-19 patients during the period from January 2021 to August 2021 were included.

Patients were subjected to full medical history taking, full blood count, inflammatory markers (CRP, serum ferritin, serum lactate dehydrogenase (LDH), serum D-dimer, PCR for COVID-19 infection), and HRCT chest.

Need for and duration of mechanical ventilation whether invasive or non-invasive, duration of hospital stay, and condition at hospital discharge were recorded.

Diagnosis for chronic respiratory disease was considered when patients have documented previous history and investigations compatible with the diagnosis, e.g., previous pulmonary function tests, chest CT, or sleep study.

Results

Comorbid chronic respiratory diseases were present in 57 patients (17.6%). Regarding presenting symptoms, no significant difference exists between patients with and without CRDs except for sputum production which was more frequent among patients with underlying CRDs.

Elevated inflammatory markers (ferritin, D-dimer, and LDH) were more frequently observed in patients without CRDs (p < 0.0001, 0.033, and 0.008, respectively).

COVID-19 with comorbid CRDs patients were more hypoxemic at presentation than other patients (p = 0.032).

There was significant number of COVID-19 patients with CRDs were discharged on home oxygen therapy (p = 0.003).

Regarding mortality in our cohort of patients, no significant difference exist between patients with and without CRDs (p 0.374)

Among patients with comorbid CRDs, the highest mortality was observed on patients with OSA followed by ILDS and then COPD.

Conclusion

The presence of CRD was not found to be a poor prognostic value of COVID-19. Inflammatory markers (ferritin, D-dimer, and LDH) were significantly higher in COVID-19 patients without CRD than COVID-19 with CRD.

COVID-19 in complex common variable immunodeficiency patients affected by lung diseases

PURPOSE OF REVIEW

In the general population, the risk of severe COVID-19 is associated with old age, male sex, hypertension, obesity and chronic diseases. Chronic lung diseases are listed as additional risk factors for hospitalization and ICU admission. The purpose of this review is to define whether chronic lung diseases, such as bronchiectasis and interstitial diseases, represent a risk for a severe SARS-CoV-2 infection in patients affected by common variable immunodeficiency (CVID), the most common symptomatic primary antibody defect.

RECENT FINDINGS

CVID patients with SARS-CoV-2 infection have been reported since the beginning of the pandemic with a wide range of clinical presentations ranging from asymptomatic to mild/moderate and severe COVID-19. The meta-analysis of 88 CVID cases described in large cohorts and case reports demonstrated that CVID patients with chronic lung involvement have an increased risk for severe COVID-19 in comparison to CVID without lung diseases (50 vs. 28%, relative risk 1.75, 95% confidence interval 1.04--2.92, P = 0.043). Differently from the general population, age and metabolic comorbidities did not represent a risk factor for severe course in this patient's population.

SUMMARY

Underlying chronic lung diseases but not age represent a risk factor for severe COVID-19 in CVID. Prompt therapeutic intervention should be adopted in SARS-CoV-2 positive CVID patients with chronic lung diseases independently of their age.

Chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 COVID-19 confirmed cases in Spain: A population-based cohort study

Background

Clinical outcomes among COVID-19 patients vary greatly with age and underlying comorbidities. We aimed to determine the demographic and clinical factors, particularly baseline chronic conditions, associated with an increased risk of severity in COVID-19 patients from a population-based perspective and using data from electronic health records (EHR).

Methods

Retrospective, observational study in an open cohort analyzing all 68,913 individuals (mean age 44.4 years, 53.2% women) with SARS-CoV-2 infection between 15 June and 19 December 2020 using exhaustive electronic health registries. Patients were followed for 30 days from inclusion or until the date of death within that period. We performed multivariate logistic regression to analyze the association between each chronic disease and severe infection, based on hospitalization and all-cause mortality.

Results

5885 (8.5%) individuals showed severe infection and old age was the most influencing factor. Congestive heart failure (odds ratio -OR- men: 1.28, OR women: 1.39), diabetes (1.37, 1.24), chronic renal failure (1.31, 1.22) and obesity (1.21, 1.26) increased the likelihood of severe infection in both sexes. Chronic skin ulcers (1.32), acute cerebrovascular disease (1.34), chronic obstructive pulmonary disease (1.21), urinary incontinence (1.17) and neoplasms (1.26) in men, and infertility (1.87), obstructive sleep apnea (1.43), hepatic steatosis (1.43), rheumatoid arthritis (1.39) and menstrual disorders (1.18) in women were also associated with more severe outcomes.

Conclusions

Age and specific cardiovascular and metabolic diseases increased the risk of severe SARS-CoV-2 infections in men and women, whereas the effects of certain comorbidities are sex specific. Future studies in different settings are encouraged to analyze which profiles of chronic patients are at higher risk of poor prognosis and should therefore be the targets of prevention and shielding strategies.

Factors Associated with SARS-CoV-2 Infection Risk among Healthcare Workers of an Italian University Hospital

We report the results of a study on the cumulative incidence of SARS-CoV-2 infections in about 6000 workers of the University Hospital of Modena, Northern Italy, in the period March 2020–January 2021, and the relations with some individual and occupational factors. Overall, in healthcare workers (HCW) the cumulative incidence of COVID-19 during the period was 13.8%. Results confirm the role of overweight and obesity as significant risk factors for SARS-CoV-2 infection. Chronic respiratory diseases, including asthma, also proved to be significantly associated with the infection rate. Considering occupational factors, the COVID-19 risk was about threefold (OR: 2.7; 95% CI 1.7–4.5) greater in nurses and nurse aides than in non-HCW, and about double (OR: 1.9; 95% CI 1.2–3.2) in physicians. Interestingly, an association was also observed between infection risk and nightshifts at work (OR: 1.8; 95% CI 1.4–2.3), significantly related to the total number of shifts in the whole eleven-month period. Even if the vaccination campaign has now greatly modified the scenario of SARS-CoV-2 infections among HCW, the results of this study can be useful for further development of health and policy strategies to mitigate the occupational risk related to the new variants of coronavirus, and therefore the evolution of the pandemic.

The Effects of Previous Asthma and COPD on the Susceptibility to and Severity of COVID-19: A Nationwide Cohort Study in South Korea

Background: There is controversial evidence of the associations of asthma and chronic obstructive pulmonary disease (COPD) with the risk and outcomes of Coronavirus Disease 2019 (COVID-19). We aimed to evaluate the effects of asthma and COPD on the susceptibility to and severity of COVID-19. Methods: Data from a nationwide COVID-19 cohort database by the Korea National Health Insurance Corporation were utilized. A total of 4066 COVID-19 patients (1 January 2020 through 4 June 2020) were 1:4 matched with 16,264 controls with regard to age, sex, and income. Asthma and COPD were defined as diagnostic codes (ICD-10) and medication claim codes. Conditional and unconditional multivariate logistic regression were applied to analyze the susceptibility to and severity of COVID-19 associated with asthma and COPD. Results: The prevalence of mild and severe asthma/COPD did not differ between the COVID-19 and control patients in the multivariate analyses. Among the total 4066 COVID-19 patients, 343 (8.4%) had severe COVID-19, of whom 132 (3.2% of the total COVID-19 patients) died. Regarding the outcomes of COVID-19, neither mild nor severe asthma were associated with the severity or mortality of COVID-19 after adjusting for other variables. However, severe COPD was a significant risk factor for severe COVID-19 (odds ratio (OR) = 2.23, 95% confidence intervals (CI): 1.08–4.60, p = 0.030) and the mortality of COVID-19 in the multivariate analyses (OR = 3.06, 95% CI: 1.14–8.2, p = 0.026). Conclusions: In a Korean nationwide cohort, neither asthma nor COPD were associated with COVID-19, but severe COPD was associated with the severity and mortality of COVID-19.

[Oral antibiotic treatment of exacerbation of COPD. Beyond COVID-19]

COPD (chronic obstructive pulmonary disease) includes patients with chronic bronchitis and / or emphysema who have in common the presence of a chronic and progressive airflow obstruction, with symptoms of dyspnea and whose natural history is modified by acute episodes of exacerbations. Exacerbation (EACOPD) is defined as an acute episode of clinical instability characterized by a sustained worsening of respiratory symptoms. It is necessary to distinguish a new EACOPD from a previous treatment failure or a relapse. EACOPD become more frequent and intense over time, deteriorating lung function and quality of life. The diagnosis of EACOPD consists of 3 essential steps: a) differential diagnosis; b) establish the severity, and c) identify its etiology. The main cause of exacerbations is infection, both bacterial and viral. Antibiotics are especially indicated in severe EACOPD and the presence of purulent sputum. Beta-lactams (amoxicillin-clavulanate and cefditoren) and fluoroquinolones (levofloxacin) are the most widely used antimicrobials. This review updates the problem of acute exacerbation with infectious origin from the perspective of etiology, antimicrobial resistance, microbiological studies, risk stratification, and antimicrobial management. The risk, prognosis and characteristics of COPD patients who develop COVID19 are analyzed.

Diseased lungs may hinder COVID-19 development: A possible reason for the low prevalence of COPD in COVID-19 patients

Presently, it remains unclear why the prevalence of lung diseases, namely chronic obstructive pulmonary disease (COPD), is much lower than other medical comorbidities and the general population among patients with coronavirus disease 2019 (COVID-19). If COVID-19 is a respiratory disease, why is COPD not the leading risk factor for contracting COVID-19? The same odd phenomenon was also observed with other pathogenic human coronaviruses causing severe acute respiratory distress syndrome (SARS) and Middle East respiratory syndrome (MERS), but not other respiratory viral infections such as influenza and respiratory syncytial viruses. One commonly proposed reason for the low COPD rates among COVID-19 patients is the usage of inhaled corticosteroids or bronchodilators that may protect against COVID-19. However, another possible reason not discussed elsewhere is that lungs in a diseased state may not be conducive for the severe acute respiratory distress syndrome coronavirus 2 (SARS-CoV-2) to establish COVID-19. For one, COPD causes mucous plugging in large and small airways, which may hinder SARS-CoV-2 from reaching deeper parts of the lungs (i.e., alveoli). Thus, SARS-CoV-2 may only localize to the upper respiratory tract of persons with COPD, causing mild or asymptomatic infections requiring no hospital attention. Even if SARS-CoV-2 reaches the alveoli, cells therein are probably under a heavy burden of endoplasmic reticulum (ER) stress and extensively damaged where it may not support efficient viral replication. As a result, limited SARS-CoV-2 virions would be produced in diseased lungs, preventing the development of COVID-19.

Effect of comorbid pulmonary disease on the severity of COVID-19: A systematic review and meta-analysis

Coronavirus disease 2019 (COVID‐19) caused by infection with severe acute respiratory syndrome coronavirus 2 was first detected in Wuhan, China, in late 2019 and continues to spread worldwide. Persistent questions remain about the relationship between the severity of COVID‐19 and comorbid diseases, as well as other chronic pulmonary conditions. In this systematic review and meta‐analysis, we aimed to examine in detail whether the underlying chronic obstructive pulmonary diseases (COPD), asthma and chronic respiratory diseases (CRDs) were associated with an increased risk of more severe COVID‐19. A comprehensive literature search was performed using five international search engines. In the initial search, 722 articles were identified. After eliminating duplicate records and further consideration of eligibility criteria, 53 studies with 658,073 patients were included in the final analysis. COPD was present in 5.2% (2191/42,373) of patients with severe COVID‐19 and in 1.4% (4203/306,151) of patients with non‐severe COVID‐19 (random‐effects model; OR = 2.58, 95% CI = 1.99–3.34, Z = 7.15, p < 0.001). CRD was present in 8.6% (3780/44,041) of patients with severe COVID‐19 and in 5.7% (16,057/280,447) of patients with non‐severe COVID‐19 (random‐effects model; OR = 2.14, 95% CI = 1.74–2.64, Z = 7.1, p < 0.001). Asthma was present in 2.3% (1873/81,319) of patients with severe COVID‐19 and in 2.2% (11,796/538,737) of patients with non‐severe COVID‐19 (random‐effects model; OR = 1.13, 95% CI = 0.79–1.60, Z = 0.66, p = 0.50). In conclusion, comorbid COPD and CRD were clearly associated with a higher severity of COVID‐19; however, no association between asthma and severe COVID‐19 was identified.

Chronic pulmonary comorbidities increase the risk of severe COVID-19, but critical details remain undetermined

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