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1.
Clin Imaging ; 90: 97-109, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1956103

ABSTRACT

Globally, many hospitalized COVID-19 patients can experience an unexpected acute change in status, prompting rapid and expert clinical assessment. Superimposed infections can be a significant cause of clinical and radiologic deviations in this patient population, further worsening clinical outcome and muddling the differential diagnosis. As thrombotic, inflammatory, and medication-induced complications can also trigger an acute change in COVID-19 patient status, imaging early and often plays a vital role in distinguishing the cause of patient decline and monitoring patient outcome. While the common radiologic findings of COVID-19 infection are now widely reported, little is known about the clinical manifestations and imaging findings of superimposed infection. By discussing case studies of patients who developed bacterial, fungal, parasitic, and viral co-infections and identifying the most frequently reported imaging findings of superimposed infections, physicians will be more familiar with common infectious presentations and initiate a directed workup sooner. Ultimately, any abrupt changes in the expected COVID-19 imaging presentation, such as the presence of new consolidations or cavitation, should prompt further workup to exclude superimposed opportunistic infection.


Subject(s)
COVID-19 , Fungi , Humans , SARS-CoV-2
2.
Infect Dis Ther ; 11(1): 231-248, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1682185

ABSTRACT

INTRODUCTION: Many immunomodulators have been studied in clinical trials for the treatment of coronavirus disease 2019 (COVID-19). However, data identifying the most effective and safest treatment are lacking. We conducted a systematic review and network meta-analysis to rank immunomodulators in the treatment of COVID-19 according to their efficacy and safety. METHODS: Published and peer-reviewed randomized controlled trials assessing the efficacy of immunomodulators in hospitalized patients with COVID-19 were searched up to June 30, 2021. Direct and network meta-analyses were applied to assess the outcomes. The probability of efficacy and safety was estimated, and the drugs were awarded a numerical ranking. RESULTS: Twenty-six studies were eligible. Compared with standard of care, dexamethasone and tocilizumab had significantly lower mortality rates with pooled risk ratios (RRs) of 0.91 (95% confidence interval [CI] 0.84-0.99) and 0.88 (95% CI 0.82-0.96), respectively. Meanwhile, the most effective corticosteroid, interleukin-6 antagonist, and Janus kinase (JAK) inhibitor were hydrocortisone, sarilumab, and ruxolitinib, respectively. However, when superimposed infection was considered, ruxolitinib was the best treatment followed by baricitinib. Moreover, methylprednisolone had the worst combined efficacy and safety among the examined treatments. CONCLUSIONS: Overall, immunomodulators were more effective than standard of care. Important differences exist among immunomodulators regarding both efficacy and safety in favor of ruxolitinib and baricitinib. Further well-conducted randomized controlled trials should focus on JAK inhibitors. Methylprednisolone use should be discouraged because of its poor efficacy and high risk of superimposed infection. TRIAL REGISTRATION: PROSPERO registration identifier CRD 42021257421.

3.
Infection ; 49(4): 591-605, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1130951

ABSTRACT

BACKGROUND: The incidence of secondary pulmonary infections is not well described in hospitalized COVID-19 patients. Understanding the incidence of secondary pulmonary infections and the associated bacterial and fungal microorganisms identified can improve patient outcomes. OBJECTIVE: This narrative review aims to determine the incidence of secondary bacterial and fungal pulmonary infections in hospitalized COVID-19 patients, and describe the bacterial and fungal microorganisms identified. METHOD: We perform a literature search and select articles with confirmed diagnoses of secondary bacterial and fungal pulmonary infections that occur 48 h after admission, using respiratory tract cultures in hospitalized adult COVID-19 patients. We exclude articles involving co-infections defined as infections diagnosed at the time of admission by non-SARS-CoV-2 viruses, bacteria, and fungal microorganisms. RESULTS: The incidence of secondary pulmonary infections is low at 16% (4.8-42.8%) for bacterial infections and lower for fungal infections at 6.3% (0.9-33.3%) in hospitalized COVID-19 patients. Secondary pulmonary infections are predominantly seen in critically ill hospitalized COVID-19 patients. The most common bacterial microorganisms identified in the respiratory tract cultures are Pseudomonas aeruginosa, Klebsiella species, Staphylococcus aureus, Escherichia coli, and Stenotrophomonas maltophilia. Aspergillus fumigatus is the most common microorganism identified to cause secondary fungal pulmonary infections. Other rare opportunistic infection reported such as PJP is mostly confined to small case series and case reports. The overall time to diagnose secondary bacterial and fungal pulmonary infections is 10 days (2-21 days) from initial hospitalization and 9 days (4-18 days) after ICU admission. The use of antibiotics is high at 60-100% involving the studies included in our review. CONCLUSION: The widespread use of empirical antibiotics during the current pandemic may contribute to the development of multidrug-resistant microorganisms, and antimicrobial stewardship programs are required for minimizing and de-escalating antibiotics. Due to the variation in definition across most studies, a large, well-designed study is required to determine the incidence, risk factors, and outcomes of secondary pulmonary infections in hospitalized COVID-19 patients.


Subject(s)
COVID-19/complications , Lung Diseases, Fungal/epidemiology , Pneumonia, Bacterial/epidemiology , SARS-CoV-2 , Anti-Bacterial Agents/therapeutic use , Antimicrobial Stewardship , COVID-19/epidemiology , Coinfection/diagnosis , Coinfection/drug therapy , Coinfection/epidemiology , Coinfection/microbiology , Drug Resistance, Multiple , Humans , Incidence , Lung Diseases, Fungal/etiology , Lung Diseases, Fungal/microbiology , Pneumonia, Bacterial/etiology , Pneumonia, Bacterial/microbiology , Time Factors
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