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1.
J Am Coll Emerg Physicians Open ; 2020 Jul 02.
Article in English | MEDLINE | ID: covidwho-1898682

ABSTRACT

OBJECTIVES: The purpose of this study was to assess coinfection rates of coronavirus disease 2019 (COVID-19) with other respiratory infections on presentation. METHODS: This is a retrospective analysis of data from a 2 hospital academic medical centers and 2 urgent care centers during the initial 2 weeks of testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) , March 10, 2020 to March 23, 2020. Testing was targeted toward high-risk patients following US Centers for Disease Control and Prevention guidelines. Demographics include age group and sex. Laboratory test results included SARS-CoV-2, rapid influenza A/B, and upper respiratory pathogen nucleic acid detection. Patient demographics and coinfections are presented overall and by test results with descriptive statistics. RESULTS: Complete laboratory results from the first 2 weeks of testing were available for 471 emergency department patients and 117 urgent care center patients who were tested for SARS-CoV. A total of 51 (8.7%) patients tested positive for COVID-19 with only 1 of these patients also testing positive for another respiratory infection. One of the patients positive for COVID-19 also tested positive for influenza A. Among the 537 patients who were screened and tested negative for COVID-19, there were 33 (6.1%) patients who tested positive in the upper respiratory pathogen nucleic acid detection test. CONCLUSION: In our study investigating coinfections among 51 patients testing positive for COVID-19, 1 patient also tested positive for influenza A. Although we found limited coinfections in our emergency department and urgent care center patient populations, further research is needed to assess potential coinfection in patients with COVID-19.

2.
J Am Coll Emerg Physicians Open ; 2020 Jun 19.
Article in English | MEDLINE | ID: covidwho-1898673

ABSTRACT

OBJECTIVES: Respiratory co-infections have the potential to affect the diagnosis and treatment of COVID-19 patients. This meta-analysis was performed to analyze the prevalence of respiratory pathogens (viruses and atypical bacteria) in COVID-19 patients. METHODS: This review was consistent with Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). Searched databases included: PubMed, EMBASE, Web of Science, Google Scholar, and grey literature. Studies with a series of SARS-CoV-2-positive patients with additional respiratory pathogen testing were included. Independently, 2 authors extracted data and assessed quality of evidence across all studies using Cochrane's Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology and within each study using the Newcastle Ottawa scale. Data extraction and quality assessment disagreements were settled by a third author. Pooled prevalence of co-infections was calculated using a random-effects model with univariate meta-regression performed to assess the effect of study subsets on heterogeneity. Publication bias was evaluated using funnel plot inspection, Begg's correlation, and Egger's test. RESULTS: Eighteen retrospective cohorts and 1 prospective study were included. Pooling of data (1880 subjects) showed an 11.6% (95% confidence interval [CI] = 6.9-17.4, I 2 = 0.92) pooled prevalence of respiratory co-pathogens. Studies with 100% co-pathogen testing (1210 subjects) found a pooled prevalence of 16.8% (95% CI = 8.1-27.9, I 2 = 0.95) and studies using serum antibody tests (488 subjects) found a pooled prevalence of 26.8% (95%, CI = 7.9-51.9, I 2 = 0.97). Meta-regression found no moderators affecting heterogeneity. CONCLUSION: Co-infection with respiratory pathogens is a common and potentially important occurrence in patients with COVID-19. Knowledge of the prevalence and type of co-infections may have diagnostic and management implications.

3.
Clin Infect Dis ; 74(5): 802-811, 2022 03 09.
Article in English | MEDLINE | ID: covidwho-1701306

ABSTRACT

BACKGROUND: The COVID-19 pandemic has resulted in unprecedented healthcare challenges, and COVID-19 has been linked to secondary infections. Candidemia, a fungal healthcare-associated infection, has been described in patients hospitalized with severe COVID-19. However, studies of candidemia and COVID-19 coinfection have been limited in sample size and geographic scope. We assessed differences in patients with candidemia with and without a COVID-19 diagnosis. METHODS: We conducted a case-level analysis using population-based candidemia surveillance data collected through the Centers for Disease Control and Prevention's Emerging Infections Program during April-August 2020 to compare characteristics of candidemia patients with and without a positive test for COVID-19 in the 30 days before their Candida culture using chi-square or Fisher's exact tests. RESULTS: Of the 251 candidemia patients included, 64 (25.5%) were positive for SARS-CoV-2. Liver disease, solid-organ malignancies, and prior surgeries were each >3 times more common in patients without COVID-19 coinfection, whereas intensive care unit-level care, mechanical ventilation, having a central venous catheter, and receipt of corticosteroids and immunosuppressants were each >1.3 times more common in patients with COVID-19. All-cause in-hospital fatality was 2 times higher among those with COVID-19 (62.5%) than without (32.1%). CONCLUSIONS: One-quarter of candidemia patients had COVID-19. These patients were less likely to have certain underlying conditions and recent surgery commonly associated with candidemia and more likely to have acute risk factors linked to COVID-19 care, including immunosuppressive medications. Given the high mortality, it is important for clinicians to remain vigilant and take proactive measures to prevent candidemia in patients with COVID-19.


Subject(s)
COVID-19 , Candidemia , COVID-19/epidemiology , COVID-19 Testing , Candidemia/drug therapy , Humans , Pandemics , SARS-CoV-2
4.
J Leukoc Biol ; 110(1): 21-26, 2021 07.
Article in English | MEDLINE | ID: covidwho-1574077

ABSTRACT

The global pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly pathogenic RNA virus causing coronavirus disease 2019 (COVID-19) in humans. Although most patients with COVID-19 have mild illness and may be asymptomatic, some will develop severe pneumonia, acute respiratory distress syndrome, multi-organ failure, and death. RNA viruses such as SARS-CoV-2 are capable of hijacking the epigenetic landscape of host immune cells to evade antiviral defense. Yet, there remain considerable gaps in our understanding of immune cell epigenetic changes associated with severe SARS-CoV-2 infection pathology. Here, we examined genome-wide DNA methylation (DNAm) profiles of peripheral blood mononuclear cells from 9 terminally-ill, critical COVID-19 patients with confirmed SARS-CoV-2 plasma viremia compared with uninfected, hospitalized influenza, untreated primary HIV infection, and mild/moderate COVID-19 HIV coinfected individuals. Cell-type deconvolution analyses confirmed lymphopenia in severe COVID-19 and revealed a high percentage of estimated neutrophils suggesting perturbations to DNAm associated with granulopoiesis. We observed a distinct DNAm signature of severe COVID-19 characterized by hypermethylation of IFN-related genes and hypomethylation of inflammatory genes, reinforcing observations in infection models and single-cell transcriptional studies of severe COVID-19. Epigenetic clock analyses revealed severe COVID-19 was associated with an increased DNAm age and elevated mortality risk according to GrimAge, further validating the epigenetic clock as a predictor of disease and mortality risk. Our epigenetic results reveal a discovery DNAm signature of severe COVID-19 in blood potentially useful for corroborating clinical assessments, informing pathogenic mechanisms, and revealing new therapeutic targets against SARS-CoV-2.


Subject(s)
COVID-19/genetics , DNA Methylation/genetics , Epigenesis, Genetic , Genome, Human , COVID-19/virology , HIV Infections/genetics , Humans , Influenza, Human/genetics , SARS-CoV-2/physiology
5.
Jpn J Infect Dis ; 74(6): 570-572, 2021 Nov 22.
Article in English | MEDLINE | ID: covidwho-1534553

ABSTRACT

An individual may contract coronavirus disease 2019 (COVID-19) and influenza simultaneously; hence, adequate measures must be undertaken for the next winter in Japan. In preparation for the future, this study aimed to clarify the incidence of influenza coinfection in patients with COVID-19 during the previous winter. We conducted a retrospective study of the medical records of 193 patients diagnosed with COVID-19 between January 31, 2020, and April 23, 2020, in a single hospital. We evaluated the incidence of COVID-19 and influenza coinfection. Using rapid diagnostic testing, we found that no patient with COVID-19 was coinfected with influenza. Coinfection with influenza and COVID-19 was rare during the past winter in Japan.


Subject(s)
COVID-19 , Coinfection , Influenza, Human , COVID-19/epidemiology , Coinfection/epidemiology , Coinfection/virology , Hospitals , Humans , Influenza, Human/epidemiology , Japan/epidemiology , Retrospective Studies
6.
J Infect Dis ; 224(6): 949-955, 2021 09 17.
Article in English | MEDLINE | ID: covidwho-1429240

ABSTRACT

BACKGROUND: Early in the coronavirus disease 2019 (COVID-19) pandemic, there was a concern over possible increase in antibiotic use due to coinfections among COVID-19 patients in the community. Here, we evaluate the changes in nationwide use of broad-spectrum antibiotics during the COVID-19 epidemic in South Korea. METHODS: We obtained national reimbursement data on the prescription of antibiotics, including penicillin with ß-lactamase inhibitors, cephalosporins, fluoroquinolones, and macrolides. We examined the number of antibiotic prescriptions compared with the previous 3 years in the same period from August to July. To quantify the impact of the COVID-19 epidemic on antibiotic use, we developed a regression model adjusting for changes of viral acute respiratory tract infections (ARTIs), which are an important factor driving antibiotic use. RESULTS: During the COVID-19 epidemic in South Korea, the broad-spectrum antibiotic use dropped by 15%-55% compared to the previous 3 years. Overall reduction in antibiotic use adjusting for ARTIs was estimated to be 14%-30%, with a larger impact in children. CONCLUSIONS: Our study found that broad-spectrum antibiotic use was substantially reduced during the COVID-19 epidemic in South Korea. This reduction can be in part due to reduced ARTIs as a result of stringent public health interventions including social distancing measures.


Subject(s)
Broadly Neutralizing Antibodies/administration & dosage , Broadly Neutralizing Antibodies/therapeutic use , COVID-19/epidemiology , Public Health , Respiratory Tract Infections/drug therapy , Adolescent , Adult , Aged , Aged, 80 and over , Antimicrobial Stewardship , Cephalosporins , Child , Child, Preschool , Female , Fluoroquinolones , Hospitalization/statistics & numerical data , Humans , Infant , Infant, Newborn , Macrolides , Male , Middle Aged , Pandemics , Penicillins , Republic of Korea/epidemiology , Respiratory Tract Infections/epidemiology , SARS-CoV-2 , Young Adult
7.
Am J Respir Crit Care Med ; 2021 May 26.
Article in English | MEDLINE | ID: covidwho-1416749

ABSTRACT

RATIONALE: Early empirical antimicrobial treatment is frequently prescribed to critically ill patients with COVID-19, based on Surviving Sepsis Campaign guidelines. OBJECTIVE: We aimed to determine the prevalence of early bacterial identification in intubated patients with SARS-CoV-2 pneumonia, as compared to influenza pneumonia, and to characterize its microbiology and impact on outcomes. METHODS: Multicenter retrospective European cohort performed in 36 ICUs. All adult patients receiving invasive mechanical ventilation >48h were eligible if they had SARS-CoV-2 or influenza pneumonia at ICU admission. Bacterial identification was defined by a positive bacterial culture, within 48h after intubation, in endotracheal aspirates, bronchoalveolar lavage, blood cultures, or a positive pneumococcal or legionella urinary antigen test. MEASUREMENTS AND MAIN RESULTS: 1,050 patients were included (568 in SARS-CoV-2 and 482 in influenza groups). The prevalence of bacterial identification was significantly lower in patients with SARS-CoV-2 pneumonia as compared to patients with influenza pneumonia (9.7 vs 33.6%, unadjusted odds ratio (OR) 0.21 (95% confidence interval (CI) 0.15 to 0.30), adjusted OR 0.23 (95% CI 0.16 to 0.33), p<0.0001). Gram-positive cocci were responsible for 58% and 72% of co-infection in patients with SARS-CoV-2 and influenza pneumonia, respectively. Bacterial identification was associated with increased adjusted hazard ratio for 28-day mortality in patients with SARS-CoV-2 pneumonia (1.57 (95% CI 1.01 to 2.44), p=0.043). However, no significant difference was found in heterogeneity of outcomes related to bacterial identification between the two study groups, suggesting that the impact of co-infection on mortality was not different between SARS-CoV-2 and influenza patients. CONCLUSIONS: Bacterial identification within 48h after intubation is significantly less frequent in patients with SARS-CoV-2 pneumonia as compared to patients with influenza pneumonia. This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/).

9.
Front Microbiol ; 12: 653399, 2021.
Article in English | MEDLINE | ID: covidwho-1389208

ABSTRACT

Co-infection with ancillary pathogens is a significant modulator of morbidity and mortality in infectious diseases. There have been limited reports of co-infections accompanying SARS-CoV-2 infections, albeit lacking India specific study. The present study has made an effort toward elucidating the prevalence, diversity and characterization of co-infecting respiratory pathogens in the nasopharyngeal tract of SARS-CoV-2 positive patients. Two complementary metagenomics based sequencing approaches, Respiratory Virus Oligo Panel (RVOP) and Holo-seq, were utilized for unbiased detection of co-infecting viruses and bacteria. The limited SARS-CoV-2 clade diversity along with differential clinical phenotype seems to be partially explained by the observed spectrum of co-infections. We found a total of 43 bacteria and 29 viruses amongst the patients, with 18 viruses commonly captured by both the approaches. In addition to SARS-CoV-2, Human Mastadenovirus, known to cause respiratory distress, was present in a majority of the samples. We also found significant differences of bacterial reads based on clinical phenotype. Of all the bacterial species identified, ∼60% have been known to be involved in respiratory distress. Among the co-pathogens present in our sample cohort, anaerobic bacteria accounted for a preponderance of bacterial diversity with possible role in respiratory distress. Clostridium botulinum, Bacillus cereus and Halomonas sp. are anaerobes found abundantly across the samples. Our findings highlight the significance of metagenomics based diagnosis and detection of SARS-CoV-2 and other respiratory co-infections in the current pandemic to enable efficient treatment administration and better clinical management. To our knowledge this is the first study from India with a focus on the role of co-infections in SARS-CoV-2 clinical sub-phenotype.

10.
Int J Epidemiol ; 50(4): 1124-1133, 2021 08 30.
Article in English | MEDLINE | ID: covidwho-1387893

ABSTRACT

BACKGROUND: The impact of SARS-CoV-2 alongside influenza is a major concern in the northern hemisphere as winter approaches. METHODS: Test data for influenza and SARS-CoV-2 from national surveillance systems between 20 January 2020 and 25 April 2020 were used to estimate influenza infection on the risk of SARS-CoV-2 infection. A test-negative design was used to assess the odds of SARS-CoV-2 in those who tested positive for influenza compared with those who tested negative. The severity of SARS-CoV-2 was also assessed using univariable and multivariable analyses. RESULTS: The risk of testing positive for SARS-CoV-2 was 58% lower among influenza-positive cases and patients with a coinfection had a risk of death of 5.92 (95% confidence interval: 3.21-10.91) times greater than among those with neither influenza nor SARS-CoV-2. The odds of ventilator use or death and intensive care unit admission or death were greatest among coinfected patients. CONCLUSIONS: Coinfection of these viruses could have a significant impact on morbidity, mortality and health-service demand.


Subject(s)
COVID-19 , Coinfection , Influenza, Human , Coinfection/epidemiology , Humans , Influenza, Human/epidemiology , SARS-CoV-2 , Severity of Illness Index
11.
J Acquir Immune Defic Syndr ; 85(1): 6-10, 2020 09 01.
Article in English | MEDLINE | ID: covidwho-1373693

ABSTRACT

BACKGROUND: SARS-CoV-2 infection continues to cause significant morbidity and mortality worldwide. Preliminary data on SARS-CoV-2 infection suggest that some immunocompromised hosts experience worse outcomes. We performed a retrospective matched cohort study to characterize outcomes in HIV-positive patients with SARS-CoV-2 infection. METHODS: Leveraging data collected from electronic medical records for all patients hospitalized at NYU Langone Health with COVID-19 between March 2, 2020, and April 23, 2020, we matched 21 HIV-positive patients with 42 non-HIV patients using a greedy nearest-neighbor algorithm. Admission characteristics, laboratory test results, and hospital outcomes were recorded and compared between the 2 groups. RESULTS: Although there was a trend toward increased rates of intensive care unit admission, mechanical ventilation, and mortality in HIV-positive patients, these differences were not statistically significant. Rates for these outcomes in our cohort are similar to those previously published for all patients hospitalized with COVID-19. HIV-positive patients had significantly higher admission and peak C-reactive protein values. Other inflammatory markers did not differ significantly between groups, although HIV-positive patients tended to have higher peak values during their clinical course. Three HIV-positive patients had superimposed bacterial pneumonia with positive sputum cultures, and all 3 patients died during hospitalization. There was no difference in frequency of thrombotic events or myocardial infarction between these groups. CONCLUSIONS: This study provides evidence that HIV coinfection does not significantly impact presentation, hospital course, or outcomes of patients infected with SARS-CoV-2, when compared with matched non-HIV patients. A larger study is required to determine whether the trends we observed apply to all HIV-positive patients.


Subject(s)
Betacoronavirus , Coinfection/virology , Coronavirus Infections/complications , HIV Infections/complications , Pneumonia, Viral/complications , Adult , Aged , Aged, 80 and over , COVID-19 , Case-Control Studies , Cohort Studies , Coinfection/mortality , Coronavirus Infections/mortality , Critical Care , Female , HIV Infections/mortality , Hospitalization , Humans , Male , Middle Aged , Pandemics , Pneumonia, Viral/mortality , Respiration, Artificial , Retrospective Studies , SARS-CoV-2 , Treatment Outcome
12.
Epidemiol Health ; 43: e2021036, 2021.
Article in English | MEDLINE | ID: covidwho-1339664

ABSTRACT

OBJECTIVES: The global pandemic coronavirus disease 2019 (COVID-19) emerged in the city of Wuhan, China around December 2019. Since then, the virus has caused severe morbidity and mortality worldwide and has put pressure on the global medical system. Still, there are limited data regarding the clinical impact of COVID-19 on people living with human immunodeficiency virus (HIV). The primary aim of this study was, therefore, to systematically review up-to-date studies reporting the clinical outcomes of COVID-19 amongst HIV patients. METHODS: A thorough literature search was carried out using MEDLINE, Embase, Scopus, and the Cochrane Library Databases in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. RESULTS: A total of 22 studies were identified. Amongst 730 HIV/COVID-19-coinfected patients, 79.4% were males, the median age was 51.5 years, and the number of reported patients receiving antiretroviral drugs was 708 (97.2%). Most coinfected patients had mild to moderate symptoms, including cough (37.7%), fever (37.5%), and dyspnoea (24.7%). Among pre-existing comorbidities, hypertension (26.3%) was the most prevalent in HIV/COVID-19 coinfected patients, and 87% of coinfected patients recovered. CONCLUSIONS: Based on the existing data in this systematic literature review, HIV patients with pre-existing comorbidities, obesity, and older age should be considered as a high-risk group for COVID-19. Furthermore, coinfected patients appear to have marginally comparable clinical outcomes with the general population. The study's findings highlight the need for further investigation to elucidate the impact of COVID-19 infection on HIV patients.


Subject(s)
Anti-Retroviral Agents/therapeutic use , COVID-19/complications , Coinfection , HIV Infections/drug therapy , China , Cough/etiology , Diagnostic Tests, Routine , Fever/etiology , Humans
13.
Clin Infect Dis ; 74(5): 802-811, 2022 03 09.
Article in English | MEDLINE | ID: covidwho-1276160

ABSTRACT

BACKGROUND: The COVID-19 pandemic has resulted in unprecedented healthcare challenges, and COVID-19 has been linked to secondary infections. Candidemia, a fungal healthcare-associated infection, has been described in patients hospitalized with severe COVID-19. However, studies of candidemia and COVID-19 coinfection have been limited in sample size and geographic scope. We assessed differences in patients with candidemia with and without a COVID-19 diagnosis. METHODS: We conducted a case-level analysis using population-based candidemia surveillance data collected through the Centers for Disease Control and Prevention's Emerging Infections Program during April-August 2020 to compare characteristics of candidemia patients with and without a positive test for COVID-19 in the 30 days before their Candida culture using chi-square or Fisher's exact tests. RESULTS: Of the 251 candidemia patients included, 64 (25.5%) were positive for SARS-CoV-2. Liver disease, solid-organ malignancies, and prior surgeries were each >3 times more common in patients without COVID-19 coinfection, whereas intensive care unit-level care, mechanical ventilation, having a central venous catheter, and receipt of corticosteroids and immunosuppressants were each >1.3 times more common in patients with COVID-19. All-cause in-hospital fatality was 2 times higher among those with COVID-19 (62.5%) than without (32.1%). CONCLUSIONS: One-quarter of candidemia patients had COVID-19. These patients were less likely to have certain underlying conditions and recent surgery commonly associated with candidemia and more likely to have acute risk factors linked to COVID-19 care, including immunosuppressive medications. Given the high mortality, it is important for clinicians to remain vigilant and take proactive measures to prevent candidemia in patients with COVID-19.


Subject(s)
COVID-19 , Candidemia , COVID-19/epidemiology , COVID-19 Testing , Candidemia/drug therapy , Humans , Pandemics , SARS-CoV-2
14.
J Microbiol Immunol Infect ; 54(1): 105-108, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1272568

ABSTRACT

Cases of co-infection and secondary infection emerging during the current Coronavirus Disease-19 (COVID-19) pandemic are a major public health concern. Such cases may result from immunodysregulation induced by the SARS-CoV-2 virus. Pandemic preparedness must include identification of disease natural history and common secondary infections to implement clinical solutions.


Subject(s)
COVID-19/immunology , COVID-19/microbiology , Coinfection/immunology , Coinfection/virology , SARS-CoV-2/immunology , COVID-19/epidemiology , COVID-19/virology , Coinfection/epidemiology , Humans , Lymphopenia/immunology , Lymphopenia/microbiology , Lymphopenia/virology , Pandemics , Prevalence , Public Health , Superinfection/immunology , Superinfection/microbiology , Superinfection/virology
16.
Virol J ; 18(1): 127, 2021 06 14.
Article in English | MEDLINE | ID: covidwho-1269882

ABSTRACT

BACKGROUND: In COVID-19 patients, undetected co-infections may have severe clinical implications associated with increased hospitalization, varied treatment approaches and mortality. Therefore, we investigated the implications of viral and bacterial co-infection in COVID-19 clinical outcomes. METHODS: Nasopharyngeal samples were obtained from 48 COVID-19 patients (29% ICU and 71% non-ICU) and screened for the presence of 24 respiratory pathogens using six multiplex PCR panels. RESULTS: We found evidence of co-infection in 34 COVID-19 patients (71%). Influenza A H1N1 (n = 17), Chlamydia pneumoniae (n = 13) and human adenovirus (n = 10) were the most commonly detected pathogens. Viral co-infection was associated with increased ICU admission (r = 0.1) and higher mortality (OR 1.78, CI = 0.38-8.28) compared to bacterial co-infections (OR 0.44, CI = 0.08-2.45). Two thirds of COVID-19 critically ill patients who died, had a co-infection; and Influenza A H1N1 was the only pathogen for which a direct relationship with mortality was seen (r = 0.2). CONCLUSIONS: Our study highlights the importance of screening for co-infecting viruses in COVID-19 patients, that could be the leading cause of disease severity and death. Given the high prevalence of Influenza co-infection in our study, increased coverage of flu vaccination is encouraged to mitigate the transmission of influenza virus during the on-going COVID-19 pandemic and reduce the risk of severe outcome and mortality.


Subject(s)
COVID-19/mortality , Coinfection/mortality , Influenza, Human/mortality , Adult , Aged , Bacterial Infections/epidemiology , Bacterial Infections/mortality , Bacterial Infections/pathology , COVID-19/epidemiology , COVID-19/pathology , Coinfection/epidemiology , Coinfection/pathology , Female , Hospitalization , Humans , Influenza A Virus, H1N1 Subtype/isolation & purification , Influenza, Human/epidemiology , Influenza, Human/pathology , Intensive Care Units , Male , Middle Aged , Nasopharynx/microbiology , Nasopharynx/virology , Prevalence , SARS-CoV-2/isolation & purification , Saudi Arabia/epidemiology
17.
Balkan Med J ; 38(3): 150-155, 2021 May.
Article in English | MEDLINE | ID: covidwho-1268391

ABSTRACT

Antibiotic consumption rates were quite high in number, although the bacterial coinfection rates were low in coronavirus disease 2019 pneumonia. Generally, empirical antibiotic treatment is not recommended for uncomplicated coronavirus disease 2019 mild to moderate pneumonia cases. On the other hand, antibiotic treatment and de-escalation are recommended for intubated intensive care unit patients or critical patients with sepsis, septic shock, or acute respiratory distress syndrome. The presentation of patients with severe coronavirus disease 2019 pneumonia can direct the clinicians to use antibiotics. We believe that wait and watch strategy can be preferred in such cases without sepsis, secondary bacterial infection findings, or procalcitonin < 0.5 ng/ mL. We think that a new wave of resistance will occur inevitably if we cannot perform the antibiotic stewardship properly.


Subject(s)
Anti-Bacterial Agents/therapeutic use , Antimicrobial Stewardship , COVID-19 , Patient Selection , Antimicrobial Stewardship/methods , Antimicrobial Stewardship/standards , COVID-19/diagnosis , COVID-19/drug therapy , Humans , Medical Overuse/prevention & control , Severity of Illness Index
18.
J Med Virol ; 93(7): 4411-4419, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1263106

ABSTRACT

In late December 2019, an outbreak of a novel coronavirus which caused coronavirus disease 2019 (COVID-19) was initiated. Acute kidney injury (AKI) was associated with higher severity and mortality of COVID-19. We aimed to evaluate the effects of comorbidities and medications in addition to determining the association between AKI, antibiotics against coinfections (AAC) and outcomes of patients. We conducted a retrospective study on adult patients hospitalized with COVID-19 in a tertiary center. Our primary outcomes were the incidence rate of AKI based on comorbidities and medications. The secondary outcome was to determine mortality, intensive care unit (ICU) admission, and prolonged hospitalization by AKI and AAC. Univariable and multivariable logistic regression method was used to explore predictive effects of AKI and AAC on outcomes. Out of 854 included participants, 118 patients developed AKI in whom, 57 used AAC and 61 did not. Hypertension and diabetes were the most common comorbidities in patients developed AKI. AAC, lopinavir/ritonavir, ribavirin, angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers, and corticosteroids had significant higher rate of administration in patients developed AKI. AAC were associated with higher deaths (odds ratio [OR] = 5.13; 95% confidence interval (CI): 3-8.78) and ICU admission (OR = 5.87; 95%CI: 2.81-12.27), while AKI had higher OR for prolonged hospitalization (3.37; 95%CI: 1.76-6.45). Both AKI and AAC are associated with poor prognosis of COVID-19. Defining strict criteria regarding indications and types of antibiotics would help overcoming concomitant infections and minimizing related adverse events.


Subject(s)
Acute Kidney Injury/epidemiology , Antiviral Agents/therapeutic use , COVID-19/drug therapy , COVID-19/pathology , SARS-CoV-2/drug effects , Acute Kidney Injury/drug therapy , Acute Kidney Injury/virology , Adult , Angiotensin-Converting Enzyme Inhibitors , Azithromycin/therapeutic use , Coinfection/drug therapy , Coinfection/prevention & control , Critical Care/statistics & numerical data , Drug Combinations , Female , Hospital Mortality , Hospitalization/statistics & numerical data , Humans , Iran/epidemiology , Linezolid/therapeutic use , Lopinavir/therapeutic use , Male , Middle Aged , Retrospective Studies , Ribavirin/therapeutic use , Ritonavir/therapeutic use , Treatment Outcome , Vancomycin/therapeutic use
19.
Emerg Infect Dis ; 27(5): 1535-1537, 2021 05.
Article in English | MEDLINE | ID: covidwho-1264309

ABSTRACT

We describe screening results for detection of co-infections with Legionella pneumophila in patients infected with severe acute respiratory syndrome coronavirus 2. In total, 93 patients were tested; 1 was positive (1.1%) for L. pneumophila serogroup 1. Co-infections with L. pneumophila occur in coronavirus disease patients and should not be missed.


Subject(s)
COVID-19 , Coinfection , Legionella pneumophila , Germany/epidemiology , Humans , SARS-CoV-2 , Tertiary Care Centers
20.
Kidney Blood Press Res ; 46(4): 452-459, 2021.
Article in English | MEDLINE | ID: covidwho-1259042

ABSTRACT

INTRODUCTION: Chronic kidney disease (CKD) patients infected with COVID-19 are at risk of serious complications such as hospitalization and death. The prognosis and lethality of COVID-19 infection in patients with established kidney disease has not been widely studied. METHODS: Data included patients who underwent kidney biopsy at the Vall d'Hebron Hospital between January 2013 and February 2020 with COVID-19 diagnosis during the period from March 1 to May 15, 2020. RESULTS: Thirty-nine (7%) patients were diagnosed with COVID-19 infection. Mean age was 63 ± 15 years and 48.7% were male. Hypertension was present in 79.5%, CKD without renal replacement therapy in 76.9%, and cardiovascular disease in 64.1%. Nasopharyngeal swab was performed in 26 patients; older (p = 0.01), hypertensive (p = 0.005), and immunosuppressed (p = 0.01) patients, those using RAS-blocking drugs (p = 0.04), and those with gastrointestinal symptoms (p = 0.02) were more likely to be tested for CO-VID-19. Twenty-two patients required hospitalization and 15.4% died. In bivariate analysis, mortality was associated with older age (p = 0.03), cardiovascular disease (p = 0.05), chronic obstructive pulmonary disease (p = 0.05), and low hemoglobin levels (p = 0.006). Adjusted Cox regression showed that low hemoglobin levels at admission had 1.81 greater risk of mortality. CONCLUSIONS: Patients with CO-VID-19 infection and kidney disease confirmed by kidney biopsy presented a mortality of 15.4%. Swab test for COVID-19 was more likely to be performed in older, hypertensive, and immunosuppressed patients, those using RAS-blocking drugs, and those with gastrointestinal symptoms. Low hemoglobin is a risk factor for mortality.


Subject(s)
COVID-19/complications , Renal Insufficiency, Chronic/complications , Age Factors , Aged , Aged, 80 and over , Biopsy , COVID-19/mortality , Cardiovascular Diseases/complications , Cardiovascular Diseases/mortality , Female , Hemoglobins/analysis , Hospitalization/statistics & numerical data , Humans , Hypertension/complications , Hypertension/epidemiology , Male , Middle Aged , Prognosis , Pulmonary Disease, Chronic Obstructive/complications , Pulmonary Disease, Chronic Obstructive/mortality , Renal Insufficiency, Chronic/mortality , Renal Insufficiency, Chronic/pathology , Renal Replacement Therapy , Renin-Angiotensin System/drug effects
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