Objectives To assess the prevalence of and factors associated with Post-Coronavirus Disease 2019 (COVID-19) syndrome six months after the onset. Methods A bidirectional prospective study. Interviews investigated symptoms potentially associated with COVID-19 six months after the disease onset of all consecutive adult in- and out-patients with COVID-19 attending Udine Hospital (Italy) from March to May 2020. IgG antibodies against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) were also evaluated six months after the onset of symptoms, at the time of the interview. Results A total of 599 individuals were included (320 female, 53.4%; mean age 53 years, SD 15.8) and interviewed 187 days (22 SD) after the onset. The prevalence of post-COVID-19 syndrome was 40.2% (241/599). The presence of IgG antibodies was significantly associated with the occurrence of post-COVID-19 syndrome (OR 2.56, 95% CI 1.48–4.38, p = 0.001) and median SARS-CoV-2 IgG titres were significantly higher in long-haulers than in patients without symptoms (42.1, IQR 17.1-78.4 vs. 29.1, IQR 12.1-54.2 kAU/L, p = 0.004). Female gender (OR 1.55, 95% CI 1.05–2.27), a proportional increase in the number of symptoms at the onset of COVID-19 (OR 1.81, 95% CI 1.59–2.05) and ICU admission OR 3.10, 95% CI 1.18–8.11) were all independent risk factors for post-COVID-19 syndrome. The same predictors also emerged in a subgroup of 231 patients with the serological follow-up available at the time of the interview alongside the proportional increase in anti-SARS-CoV-2 IgG (OR 1.01, 95% CI 1.00–1.02, p = 0.04). Conclusions Prospective follow-up could be offered to specific subgroups of COVID-10 patients, to identify typical symptoms and persistently high anti-SARS-CoV-2 IgG titers as a means of early detection of post-COVID-19 long-term sequelae.
Background: Bloodstream infections (BSIs) by Klebsiella pneumoniae carbapenemase (KPC)-producing Klebsiella pneumoniae (Kp) are associated with high mortality. The aim of this study is to assess the relationship between time to administration of appropriate antibiotic therapy and the outcome of patients with BSI due to KPC-Kp hospitalized in intensive care unit (ICU). Methods: An observational study was conducted in the ICUs of two academic centers in Italy. Patients with KPC-Kp bacteremia hospitalized between January 2015 to December 2018 were included. The primary outcome was the relationship between time from blood cultures (BC) collection to appropriate antibiotic therapy and 30-day mortality. The secondary outcome was to evaluate the association of different treatment regimens with 30-day mortality and a composite endpoint (30-day mortality or nephrotoxicity). A Cox regression analysis to identify factors independently associated with 30-day mortality was performed. Hazard ratio (HR) and 95% confidence interval (CI) were calculated. Results: A total of 102 patients with KPC-Kp BSI were included. The most common sources of infection were intraabdominal (23.5%), urinary tract (20.6%), and skin and skin structure (17.6%). The 30-day mortality was 45%. Median time to appropriate antibiotic therapy was shorter in patients who survived (8.5 h [IQR 1-36]) versus those who died (48 h [IQR 5-108], p = 0.014). A propensity score matching showed that receipt of an in vitro active therapy within 24 h from BC collection was associated with lower 30-day mortality (HR = 0.36, 95% CI: 0.188-0.690, p = 0.0021). At Cox regression analysis, factors associated with 30-day mortality were primary bacteremia (HR 2.662 [95% CI 1.118-6.336], p = 0.027), cardiovascular disease , p = 0.029), time (24-h increments) from BC collection to appropriate therapy (HR 1.382 [95% CI 1.132-1.687], p = 0.001), SOFA score (HR 1.122 [95% CI 1.036-1.216], p = 0.005), and age (HR 1.030 [95% CI 1.006-1.054], p = 0.012). Ceftazidime-avibactam-containing regimens were associated with reduced risk of composite endpoint (30-day mortality OR nephrotoxicity) (HR 0.231 [95% CI 0.071-0.745], p = 0.014) compared to colistin-containing regimens.Conclusions: Time to appropriate antibiotic therapy is an independent predictor of 30-day mortality in patients with KPC-Kp BSI. Appropriate antibiotic therapy should begin within 24 h from the collection of BC.
Management of antimicrobial resistance in multi-drug-resistant-Klebsiella pneumoniae (MDR-KP) is a major challenge for clinicians. The optimal treatment option for MDR-KP infections is still not well established. Combination therapies including high-dose meropenem, colistin, fosfomycin, tigecycline, and aminoglycosides are widely used, with suboptimal results. New antimicrobials targeting MDR-KP have been developed during the last decades and are now at various stages of clinical research. Areas covered: The PubMed database was searched to review the most significant literature on the topic, with a special consideration for articles coming from endemic countries. Expert commentary: We reviewed the currently available treatment options, discussing the characteristics of new antibiotics with activity against MDR Gram-negative bacteria and the strategies for preventing the spread of MDR-KP. While we wait for real-world data from novel compounds, coordinated strategies and common efforts in infection control and stewardship programs remain the cornerstone for limiting, or potentially reversing, conditions that favor the spread of MDR-KP.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.