scholarly journals Active Surveillance of Carbapenem-resistant Gram-negative Bacteria to guide antibiotic therapy: a single-center prospective observational study

2021 ◽  
Author(s):  
Qiqiang Liang ◽  
Juan Chen ◽  
Yongshan Xu ◽  
Yibing Chen ◽  
Man Huang
Keyword(s):  
Risk Factors ◽  
Observational Study ◽  
Antibiotic Therapy ◽  
Prospective Observational Study ◽  
Gram Negative Bacteria ◽  
Empirical Antibiotic Therapy ◽  
Single Center ◽  
Gram Negative ◽  
Factors Associated ◽  
Carbapenem Resistant

Abstract Background Carbapenem-resistant Gram-negative Bacteria (CRGNB) have become a public health concern worldwide. The risk factors associated with CRGNB infection after colonization are unknown, nor is the optimal timing of antibiotic treatment, warranting further investigation. Methods A 4-year single-center prospective observational study was conducted. CRGNB-colonized patients were incorporated on admission into our observation cohort for an active surveillance culture program, and analysis of risk factors associated with infections after CRGNB colonization was performed. We divided patients into empirical antibiotic therapy groups and standard antibiotic therapy groups according to whether antibiotics were used before or after cultures yielded a result to explore the relationship between the timing of antibiotics and clinical efficacy. Results 152 out of 451 CRGNB-colonized patients in the prospective observational cohort developed CRGNB infection. The risk factors associated with CRGNB infection after colonization included CRKP (P < 0.001, OR = 3.27) and CRPA (P < 0.001, OR = 2.97) colonization, history of carbapenems use (P < 0.001, OR = 5.48), and immunocompromise (P < 0.001, OR = 7.07). There were 88 infected patients in the empirical antibiotic therapy groups and 64 in standard antibiotic therapy groups. The mortality was lower in empirical therapy groups than standard therapy groups (17.0% vs. 37.5%, P = 0.004, OR = 0.32). Conclusions CRGNB colonization increased the risk of infection, and risk factors included CRKP and CRPA colonization, immunocompromise, and prior carbapenems use. Once infection occurs in CRGNB-colonized patients, susceptibility-guided antibiotic treatment can be given according to previous susceptibility results of colonized CRGNB, reducing mortality.

scholarly journals Risk Factors for Carbapenemase Producing-Carbapenem Resistant Enterobacteriaceae in Those With CRE Positive Cultures

2020 ◽  
Vol 41 (S1) ◽  
pp. s376-s377
Author(s):  
Geneva Wilson ◽  
Christopher Pfeiffer ◽  
Margaret Fitzpatrick ◽  
Katie Suda ◽  
Brian Bartle ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Congestive Heart Failure ◽  
Geographic Region ◽  
Gram Negative Bacteria ◽  
Term Care ◽  
Gram Negative ◽  
Factors Associated ◽  
Carbapenem Resistant ◽  
Carbapenem Resistant Enterobacteriaceae

Background: Carbapenem-resistant Enterobacteriaceae (CRE) are gram-negative bacteria resistant to at least 1 carbapenem and are associated with high mortality (50%). Carbapenemase-producing CRE (CP-CRE) are particularly serious because they are more likely to transmit carbapenem resistance genes to other gram-negative bacteria and they are resistant to all carbapenem antibiotics. Few studies have evaluated risk factors associated with CP-CRE colonization. The goal of this study was to determine the risk factors associated with CP-CRE colonization in a cohort of US veterans. Methods: We conducted a retrospective cohort study of patients seen at VA medical centers between 2013 and 2018 who had positive cultures for CRE from any site, defined by resistance to at least 1 of the following carbapenems: imipenem, meropenem, doripenem, or ertapenem. CP-CRE was defined via antibiotic sensitivity data that coded the culture as being ‘carbapenemase producing,’ being ‘Hodge test positive,’ or ‘KPC producing.’ Only the first positive culture for CRE was included. Patient demographics (year of culture, age, sex, race, major comorbidities, infectious organism, culture site, inpatient status, and CP-CRE status) and facility demographics (rurality, geographic region, and facility complexity) were collected. Bivariate analysis and multiple logistic regression were performed to determine variables associated with CP-CRE versus non–CP-CRE. Results: In total, 3,322 patients were identified with a positive CRE culture: 546 (16.4%) with CP-CRE and 2,776 (83.63%) with non–CP-CRE. Most patients were men (95%) and were older (mean age, 71; SD, 12.5) and were diagnosed at a high-complexity VA medical center (65%). Most of the cultures were urine (63%), followed by sputum (13%), and blood (7%). Most were from inpatients (46%), followed by outpatients (42%), and long-term care facilities (12%). Multivariable analysis showed the following variables to be associated with CP-CRE positive cultures: congestive heart failure (P = .0136), African American (P = .0760), Klebsiella spp (P < .0001), GI cancers (P = .0087), culture collected in 2017 (P = .0004), and culture collected in 2018 (P < .0001). There were also significant differences CP-CRE frequencies by geographic region (P < .001). Discussion: CP-CRE diagnoses are relatively rare; however, the serious complications associated make them important infections to investigate. In our analysis, we found that congestive heart failure and gastric cancer were comorbidities strongly associated with CP-CRE. In 2017, the VA formalized their CP-CRE definition, which led to more accurate reporting. Conclusions: After the guideline was implemented, CP-CRE detection dramatically increased in noncontinental US facilities. More work should be done in the future to determine the different risk factors between non–CP-CRE and CP-CRE infections.Funding: NoneDisclosures: None

scholarly journals POS0875 MYOSITIS-SPECIFIC ANTIBODIES IN A RETROSPECTIVE SINGLE-CENTER OBSERVATIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 693.2-694
Author(s):  
J. Álvarez Troncoso ◽  
S. Carrasco Molina ◽  
J. Valdivieso ◽  
P. Nozal ◽  
Á. Robles Marhuenda ◽  
...  
Keyword(s):  
Risk Factors ◽  
Observational Study ◽  
Interstitial Pneumonia ◽  
Usual Interstitial Pneumonia ◽  
Older Age ◽  
Single Center ◽  
Specific Antibodies ◽  
Factors Associated ◽  
Risk Of Cancer ◽  
Single Center Observational Study

Background:Myositis-specific antibodies (MSA) are highly specific and useful to classify patients as having syndromes with distinct clinical features and prognosis. MSA are almost always mutually exclusive and quite specific, adding value as a useful biomarker for diagnosis. Although individual autoantibodies aren’t sensitive enough to detect the full spectrum of idiopathic inflammatory myopathies (IIM), the sensitivity of a myositis panel is increasing as more autoantibodies are discovered, and as better assays become available.Objectives:We aimed to analyze the usefulness of a myositis-specific immunoblot for the diagnosis of IIM in a hospital cohort from January 2019 to December 2020. We also seek to correlate immunological findings with the risk of associated interstitial lung disease (ILD), cancer, or death.Methods:Retrospective single-center observational study conducted in a Spanish tertiary hospital. In patients with high clinical suspicion of IIM, a myositis immunoblot was performed including Jo1, PL-7, PL-12, EJ, SRP, Mi2, Ku, MDA-5, TIF1-γ, HMGCR, PM-Scl and Ro52 antibodies. The demographic characteristics, the risk of ILD, cancer and death were analyzed.Results:In a cohort of 313 patients with high suspicion of IIM, 87 patients (27.8%) presented a positive MSA (MSA+ve). The mean age at diagnosis was 56.7±16.9 years, with no significant differences between MSA+ve and MSA-ve (p=0.597). Most of the patients were women with significant differences between both groups (80.5% MSA+ve vs 68.1% MSA-ve, p=0.030).IIM were classified as antisynthetase syndrome (ARS) (38%), dermatomyositis (DM) (31%), overlap myopathy (OM) (16.9%) and necrotizing myopathy (NM) (14.1%) according to the manifestations and MSA found (Jo1, PL-12, PL-7, EJ in ARS; Mi-2, MDA-5 and TIF1-γ in DM; Ku and PM-Scl in OM; HMGCR and SRP in NM). The most frequent MSA were anti-Jo1 (16.9%), TIF1-γ (15.5%), Ku (12.7%), Mi-2 (9.9%), PL-7 (9.9%), HMCGR (8.5%), PL-12 (7%), MDA-5 (5.6%), SRP (5.6%) and EJ (4.2%). The presence of Ro52 associated with other MSA was found in 20 patients (22.9%).ILD was the most frequent manifestation (45.2% of the MSA+ve). Non-specific interstitial pneumonia (NSIP) was the most frequent ILD (39.5%), followed by usual interstitial pneumonia (34.2%). The main risk factors associated with IIM-ILD were some subtypes of the MSAs (p<0.001), the association of Ro52 (p<0.001), and older age (p=0.027). Among the IIM, ARS and OM (p<0.001) were more frequently associated with IIM-ILD. The MSAs most associated with IIM-ILD were Jo1, PL-7, PM-Scl, Ku and SRP (p<0.001).Cancer was found in 9.6% of MSA+ve patients. The most frequent tumors were gynecological (37.5%), followed by gastrointestinal (25%) and breast cancer (12.5%). Factors associated with cancer were age (p=0.010), TIF1-γ (p<0.001), SRP (p=0.004), PL-12 (p=0.013), PL-7 (p=0.047) and HMGCR (p=0.027).The mortality of these patients was 3.5%. There were no differences regarding MSA+ve/-ve (p = 0.911). However, MDA-5 (p=0.033) and older age (p=0.001) were associated with higher mortality. There were no significant differences between the IIM classifications, the associated SAD, the presence of cancer or ILD. However, longer follow-up periods and future studies are necessary to confirm these results.Conclusion:The use of a myositis blot allowed classifying, stratifying the risk of ILD, the risk of cancer and the risk of mortality in IIM. IIM-ILD was the most frequent complication, usually manifested as NSIP. The associated risk factors were ARS, OM, some MSAs, Ro52+ and older age. Cancer was a serious and frequent manifestation in these patients, especially in patients with TIF1-γ and other MSAs, so it is essential to know the risk factors and perform an early screening, especially in older patients.A better knowledge of the serological profiles of IIM will provide more individualized approaches and better risk stratification, helping in the management and treatment of these patients.References:[1]Satoh et al. Clin Rev Allergy Immunol. 2017 Feb;52(1):1-19.[2]Betteridge et al. J Intern Med. 2016 Jul;280(1):8-23.Disclosure of Interests:None declared

scholarly journals Comparison of the Contamination Rate and Risk Factor Profile of Blood Culture Done in Emergency Department and MHDU/MICUs

2021 ◽  
pp. 1-8
Author(s):  
Dr. Pankaj Kumar Singh
Keyword(s):  
Risk Factors ◽  
Emergency Department ◽  
Risk Factor ◽  
Blood Culture ◽  
Observational Study ◽  
Prospective Observational Study ◽  
Contamination Rate ◽  
Medical Illness ◽  
Inclusion Criteria ◽  
Factors Associated

Aims and objectives: To determine the risk factors of blood culture contamination done in ED and those done in the MHDU/MICU among patients admitted with medical illness. Material and Methods: This is a two months’ prospective observational study comparing blood culture contamination rate and risk factors associated with contamination between ED and MICU/MHDU. A total of 998 patients were included in the study who underwent blood culture in ED and MICU/MHDU. 570 in ED and 428 in MICU/MHDU were included after meeting exclusion and inclusion criteria. Results: Blood culture growths were higher in ED (19%). Most common growth was CoNS (4%). The overall contamination rate in this study was (4.8%) The contamination rate was lower in ED (4.4%) when compared to MICU/MHDU (5.4%).

Risk factors associated with the isolation of colistin-resistant Gram-negative bacteria: A matched case-control study

2008 ◽  
Vol 36 (3) ◽  
pp. 807-811 ◽  
Author(s):  
Dimitrios K. Matthaiou ◽  
Argyris Michalopoulos ◽  
Petros I. Rafailidis ◽  
Drosos E. Karageorgopoulos ◽  
Vassiliki Papaioannou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Case Control ◽  
Gram Negative Bacteria ◽  
Gram Negative ◽  
Factors Associated ◽  
Matched Case ◽  
Matched Case Control Study ◽  
Control Study

scholarly journals Risk Factors Associated With Imipenem-Resistance Among Isolated Gram -Negative Bacteria From Patients in Sanandaj Hospitals, Iran

2016 ◽  
Vol 3 (1) ◽  
pp. 29989-29989
Author(s):  
Behzad Mohsenpour ◽  
Samaneh Rouhi ◽  
Roghaye Mehrdel ◽  
Tayyebe Faraji ◽  
Milad Masaeli ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gram Negative Bacteria ◽  
Gram Negative ◽  
Factors Associated ◽  
Imipenem Resistance

scholarly journals Epidemiology and Risk Factors Associated With Mortality in Consecutive Patients With Bacterial Bloodstream Infection: Impact of MDR and XDR Bacteria

2020 ◽  
Vol 7 (11) ◽  
Author(s):  
Antonella Santoro ◽  
Erica Franceschini ◽  
Marianna Meschiari ◽  
Marianna Menozzi ◽  
Stefano Zona ◽  
...  
Keyword(s):  
Risk Factors ◽  
Clinical Condition ◽  
Gram Negative Bacteria ◽  
Charlson Score ◽  
Patient Death ◽  
Gram Negative ◽  
Factors Associated ◽  
Risk Of Death ◽  
Crude Mortality ◽  
Independent Risk Factors

Abstract Background  Mortality related to bloodstream infections (BSIs) is high. The epidemiology of BSIs is changing due to the increase in multidrug resistance, and it is unclear whether the presence of multidrug-resistant (MDR) organisms, per se, is an independent risk factor for mortality. Our objectives were, first, to describe the epidemiology and outcome of BSIs and, second, to determine the risk factors associated with mortality among patients with BSI. Methods  This research used a single-center retrospective observational study design. Patients were identified through microbiological reports. Data on medical history, clinical condition, bacteria, antimicrobial therapy, and mortality were collected. The primary outcome was crude mortality at 30 days. The relationships between mortality and demographic, clinical, and microbiological variables were analyzed by multivariate analysis. Results  A total of 1049 inpatients were included. MDR bacteria were isolated in 27.83% of patients, where 2.14% corresponded to an extremely drug-resistant (XDR) isolate. The crude mortality rates at days 7, 30, and 90 were 12.11%, 25.17%, and 36.13%, respectively. Pitt score &gt;2, lung and abdomen as site of infection, and XDR Pseudomonas aeruginosa were independent risk factors for 7-, 30-, and 90-day mortality. Charlson score &gt;4, carbapenem-resistant Klebsiella pneumoniae, and XDR Acinetobacter baumannii were independent risk factors for 30- and 90-day mortality. Infection by XDR gram-negative bacteria, Charlson score &gt;4, and immunosuppression were independent risk factors for mortality in patients who were stable at the time of BSI. Conclusions  BSI is an event with an extreme impact on mortality. Patients with severe clinical condition are at higher risk of death. The presence of XDR gram-negative bacteria in blood is strongly and independently associated with patient death.

Sign in / Sign up

Export Citation Format

Share Document