Bloodstream Infections in Hospitalized Patients with COVID-19: A Systematic Review and Meta-Analysis DOI Creative Commons
Mariachiara Ippolito, Barbara Simone,

Carlotta Filisina

и другие.

Microorganisms, Год журнала: 2021, Номер 9(10), С. 2016 - 2016

Опубликована: Сен. 23, 2021

Little is known about the occurrence of bloodstream infections in hospitalized patients with COVID-19 and related clinical consequences. The aim this systematic review meta-analysis was to estimate pooled BSIs among mortality patient population.A search performed on PubMed, EMBASE, Web Science from inception 19 April 2021. primary outcome COVID-19. secondary at longest available follow-up.Forty-six studies met inclusion criteria, a total 42,694 evaluated. estimated 7.3% (95% CI 4.7-1.1%) COVID-19, rate 41% 30%-52.8%). subgroup analysis conducted admitted ICU provided an 29.6% 21.7%-38.8%). A higher BSI observed comparison without (OR 2.77; 95% 1.53-5.02; p < 0.001).Our around 7%. four-times ICU.

Язык: Английский

Diagnostic value of metagenomic next-generation sequencing in sepsis and bloodstream infection DOI Creative Commons

Cuihong Qin,

Shuguang Zhang, Yingying Zhao

и другие.

Frontiers in Cellular and Infection Microbiology, Год журнала: 2023, Номер 13

Опубликована: Фев. 10, 2023

Objective To evaluate the diagnostic value of metagenomic next-generation sequencing (mNGS) in sepsis and bloodstream infection (BSI). Methods A retrospective analysis patients diagnosed with BSI at First Affiliated Hospital Zhengzhou University from January 2020 to February 2022 was conducted. All underwent blood culture were divided into mNGS group non-mNGS according whether performed or not. The further early (&lt; 1 day), intermediate (1–3 days), late (&gt; 3 days) time inspection. Results In 194 BSI, positive rate for identifying pathogens significantly higher than that (77.7% vs. 47.9%), detection period shorter (1.41 ± 1.01 days 4.82 0.73 days); difference statistically significant ( p &lt; 0.05). 28-day mortality n = 112) lower 82) (47.32% 62.20%, 0.043). total hospitalization longer (18 (9, 33) 13 (6, 23) days, 0.005). There no ICU time, mechanical ventilation vasoactive drug use 90-day between two groups &gt; Sub-group showed those (30 (18, 43) 10 26) 17 31) 6 (2, 10) (6 (3, 15) differences (70.21% 30.00%), 0.001). Conclusions has advantages a short high diagnosis causing and, eventually, sepsis. Routine combined can reduce septic BSI. Early using shorten

Язык: Английский

Процитировано

18

Candida Non-albicans and Non-auris Causing Invasive Candidiasis in a Fourth-Level Hospital in Colombia: Epidemiology, Antifungal Susceptibility, and Genetic Diversity DOI Creative Commons
Juan Camilo Hernández-Pabón,

Bryan Tabares,

Óscar Gil

и другие.

Journal of Fungi, Год журнала: 2024, Номер 10(5), С. 326 - 326

Опубликована: Апрель 30, 2024

Increasingly common and associated with healthcare settings, Candida infections are very important, since some species of this genus can develop antifungal resistance. We contribute data on the epidemiology, susceptibility, genetic diversity non-albicans non-auris affecting critically ill patients in a fourth-level hospital Colombia. Ninety-seven isolates causing invasive infections, identified by conventional methods over 18 months, were studied. Data from affected these yeasts, including sex, age, comorbidities, treatment, outcome, analysed. The susceptibility was determined, ribosomal DNA sequenced. parapsilosis, tropicalis, glabrata, dubliniensis, guilliermondii caused 48.5% all cases candidiasis. mainly recovered blood (50%). Patients mostly men (53.4%), between days 93 years old, hospitalized ICU (70.7%). Overall mortality 46.6%, but ICU, using antibiotics, diabetes mellitus, or C. glabrata more likely to die. Resistant glabrata. This study provides epidemiological for surveillance emerging species, highlighting their clinical impact, as well emergence resistance clonal dispersal.

Язык: Английский

Процитировано

7

Evaluation of clinical characteristics and risk factors associated with Chlamydia psittaci infection based on metagenomic next-generation sequencing DOI Creative Commons
Lei Yuan, Qiang Chen,

Xin Yu Zhu

и другие.

BMC Microbiology, Год журнала: 2024, Номер 24(1)

Опубликована: Март 13, 2024

Abstract Introduction Psittacosis is a zoonosis caused by Chlamydia psittaci , the clinical manifestations of range from mild illness to fulminant severe pneumonia with multiple organ failure. This study aimed evaluate characteristics infection diagnosed based on metagenomic next-generation sequencing(mNGS), as well risk factors affecting progress infection, in order improve effect therapeutics. Methods We retrospectively analyzed data patients infected chlamydia First Affiliated Hospital Nanchang University January 2021 December 2021. The patient’s past medical history, manifestations, laboratory examinations, chest CT results, treatment status, and prognosis were collected. we also investigated both pathogenic profile lower respiratory tract microbiota C hlamydia using mNGS. Results All cases our research have been confirmed Among 46 pneumonia, Poultry exposure was reported 35 cases. In Neutrophils, Procalcitonin (PCT), Lactate Dehydrogenase (LDH), Hydroxybutyrate (HBDH), Creatine Kinase Isoenzymes-B (CK-MB) D-Dimer levels remarkably higher than that non-severe cases, except for lymphocytes (all P < 0.05). Chest scans showed Bilateral (77.8%), lobar lungs (85.2%), pleural effusions (44.4%) involvement those suffering whereas its incidence 0%, 21.1% 10.5% patients, respectively ( Multivariate analysis revealed lymphocyte concentrations (OR 0.836, 95% CI 0.714–0.962, = 0.041) only protective factor survival. mNGS results indicated 41.3% (19/46) had suspected coinfections coinfection rate 84.2% (16/19) group, much non group p No significantly different profiles diversity found between group. Conclusion A history poultry can serve an important basis diagnosing are more likely develop elevated inflammatory biomarkers cardiac markers. Higher associated C. pneumonia. proportion supports use comprehensive early detection infections

Язык: Английский

Процитировано

6

Prediction of carbapenem-resistant gram-negative bacterial bloodstream infection in intensive care unit based on machine learning DOI Creative Commons

Qiqiang Liang,

Shuo Ding, Juan Chen

и другие.

BMC Medical Informatics and Decision Making, Год журнала: 2024, Номер 24(1)

Опубликована: Май 14, 2024

Abstract Background Predicting whether Carbapenem-Resistant Gram-Negative Bacterial (CRGNB) cause bloodstream infection when giving advice may guide the use of antibiotics because it takes 2–5 days conventionally to return results from doctor's order. Methods It is a regional multi-center retrospective study in which patients with suspected infections were divided into positive and negative culture group. According results, CRGNB group other groups. We used machine learning algorithm predict blood was pathogen once order culture. Results There 952 cultures, 418 group, 534 non-CRGNB 1422 cultures. Mechanical ventilation, invasive catheterization, carbapenem history main high-risk factors for infection. The random forest model has best prediction ability, AUROC being 0.86, followed by XGBoost prediction. In analysis, SVM have higher area under receiver operating characteristic curves, are 0.88 0.87, respectively. Conclusions can accurately occurrence ICU-acquired identify causes

Язык: Английский

Процитировано

6

Bloodstream Infections in Hospitalized Patients with COVID-19: A Systematic Review and Meta-Analysis DOI Creative Commons
Mariachiara Ippolito, Barbara Simone,

Carlotta Filisina

и другие.

Microorganisms, Год журнала: 2021, Номер 9(10), С. 2016 - 2016

Опубликована: Сен. 23, 2021

Little is known about the occurrence of bloodstream infections in hospitalized patients with COVID-19 and related clinical consequences. The aim this systematic review meta-analysis was to estimate pooled BSIs among mortality patient population.A search performed on PubMed, EMBASE, Web Science from inception 19 April 2021. primary outcome COVID-19. secondary at longest available follow-up.Forty-six studies met inclusion criteria, a total 42,694 evaluated. estimated 7.3% (95% CI 4.7-1.1%) COVID-19, rate 41% 30%-52.8%). subgroup analysis conducted admitted ICU provided an 29.6% 21.7%-38.8%). A higher BSI observed comparison without (OR 2.77; 95% 1.53-5.02; p < 0.001).Our around 7%. four-times ICU.

Язык: Английский

Процитировано

39