scholarly journals Effect on 30-day mortality and duration of hospitalization of empirical antibiotic therapy in CRGNB-infected pneumonia

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Rongrong Li ◽  
Hao Tang ◽  
Huaming Xu ◽  
Kunwei Cui ◽  
Shujin Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Antibiotic Treatment ◽  
Retrospective Cohort ◽  
Gram Negative Bacteria ◽  
Hemodynamic Support ◽  
Empirical Antibiotic Treatment ◽  
Carbapenem Resistant ◽  
Hospitalization Time ◽  
Duration Of Hospitalization ◽  
Multivariable Regression

Abstract Background The objective of this study was to investigate whether unreasonable empirical antibiotic treatment (UEAT) had an impact on 30-day mortality and duration of hospitalization in bacterial pneumonia caused by carbapenem-resistant gram-negative bacteria (CRGNB). Methods This was a retrospective cohort study involving CRGNB-infected pneumonia. All CRGNB-infected pneumonia patients received empirical and targeted antibiotic treatment (TAT), and they were divided into reasonable empirical antibiotic treatment (REAT) and UEAT according to whether the empirical antibiotic treatment (EAT) was reasonable. The data of the two groups were compared to analyze their influence on the 30-day mortality and hospitalization time in CRGNB-infected pneumonia patients. Moreover, we also considered other variables that might be relevant and conducted multivariable regression analysis of 30-day mortality and duration of hospitalization in CRGNB-infected pneumonia patients. Results The study collected 310 CRGNB-infected pneumonia patients, the most common bacterium is Acinetobacter baumannii (211/310 [68%]), the rest were Klebsiella pneumoniae (46/310 [15%]), Pseudomonas aeruginosa and others (53/310 [17%]). Among them, 76/310 (24.5%) patients received REAT. In the analysis of risk factors, dementia, consciousness were risk factors of 30-day mortality, pulmonary disease, hemodynamic support at culture taken day and recent surgery were risk factors for longer hospital stay. The analysis of 30-day mortality showed that UEAT was not associated with 30-day mortality for the 30-day mortality of REAT and UEAT were 9 of 76 (11.84%) and 36 of 234 (15.38%) (P = 0.447), respectively. Meanwhile, there was difference between REAT and UEAT (P = 0.023) in the analysis of EAT on hospitalization time in CRGNB-infected pneumonia patients. Conclusions UEAT was not associated with 30-day mortality while was related to duration of hospitalization in CRGNB-infected pneumonia patients, in which Acinetobacter baumanniii accouned for the majority.

scholarly journals Effect on 30-day Mortality and Duration of Hospitalization of Empirical Antibiotic Therapy in CRGNB-Infected Pneumonia

2021 ◽  
Author(s):  
rongrong li ◽  
Hao Tang ◽  
Huaming Xu ◽  
Kunwei Cui ◽  
Shujin Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Antibiotic Treatment ◽  
Bacterial Pneumonia ◽  
Gram Negative Bacteria ◽  
Hemodynamic Support ◽  
Empirical Antibiotic Treatment ◽  
Carbapenem Resistant ◽  
Exposure Variable ◽  
Duration Of Hospitalization ◽  
Multivariable Regression

Abstract PurposeThe objective of this study was to investigate whether unreasonable empirical antibiotic treatment(UEAT) had an impact on 30-day mortality and duration of hospitalization in bacterial pneumonia caused by carbapenem-resistant gram-negative bacteria (CRGNB).MethodsThis was a retrospective study involving CRGNB-infected pneumonia. All patients received empirical and targeted antibiotic treatment. The exposure variable was treated with empirical antibiotic treatment(EAT) within 48 hours of incubation and the outcome was 30-day mortality and duration of hospitalization. Moreover, we also considered other variables that might be relevant and conducted multivariable regression analysis of 30-day mortality and duration of hospitalization.ResultsThe experiment collected 310 cases, the most common bacterium is Acinetobacter baumannii (211/310 [68%]) and the others were Klebsiella pneumoniae(46/310 [15%])、Pseudomonas aeruginosa and others (53/310 [17%]). 76/310 (24.5%) patients received appropriate empirical antibiotic treatment(REAT). In the analysis of risk factors, dementia, unconsciousness were risk factors of 30-day mortality and pulmonary disease, hemodynamic support at culture taken day and recent surgery were risk factors for longer hospital stay. 30-day mortality was 9 of 76(11.84%) with REAT vs 36 of 234 (15.38%) with UEAT (P =0.447), UEAT was not associated with 30-day mortality. On the contrary, there was difference between REAT and UEAT(P=0.023) in the analysis of EAT on hospitalization time.ConclusionsUEAT was not associated with 30-day mortality while was related to duration of hospitalization in CRGNB-infected pneumonia, in which Acinetobacter baumanniii accouned for the majority.

Microbiological pattern of prosthetic hip and knee infections: a high-volume, single-centre experience in China

2021 ◽  
Author(s):  
Yali Yu ◽  
Yiyi Kong ◽  
Jing Ye ◽  
Aiguo Wang ◽  
Wenteng Si
Keyword(s):  
Antibiotic Treatment ◽  
Prolonged Treatment ◽  
Resistant Bacteria ◽  
Gram Negative Bacteria ◽  
Gram Positive ◽  
Musculoskeletal Infection ◽  
Gram Negative ◽  
Content Type ◽  
Empirical Antibiotic Treatment ◽  
Link Type

Introduction. Prosthetic joint infection (PJI) is a serious complication after arthroplasty, which results in high morbidity, prolonged treatment and considerable healthcare expenses in the absence of accurate diagnosis. In China, microbiological data on PJIs are still scarce. Hypothesis/Gap Statement. The incidence of PJI is increasing year by year, and the proportion of drug-resistant bacteria infection is nicreasing, which brings severe challenges to the treatment of infection. Aim. This study aimed to identify the pathogens in PJIs, multi-drug resistance, and evaluate the effect of the treatment regimen in patients with PJI. Methodology. A total of 366 consecutive cases of PJI in the hip or knee joint were admitted at the Orthopedic Surgery Center in Zhengzhou, China from January 2012 to December 2018. Infections were confirmed in accordance with the Infectious Diseases Society of America and the Musculoskeletal Infection Society (MSIS) criteria. Concurrently, patient demographic data, incidence and antibiotic resistance were investigated. Statistical differences were analysed using Fisher’s exact test or chi-square test. Results. Altogether, 318 PJI cases satisfying the inclusion criteria were enrolled in this study, including 148 with hip PJIs and 170 with knee PJIs. The average age of patients with hip PJIs was lesser than that of patients with knee PJIs (56.4 vs. 68.6 years). Meanwhile, coagulase-negative staphylococcus (CNS, n=81, 25.5 %) was the predominant causative pathogen, followed by Staphylococcus aureus (n=67, 21.1 %). Methicillin-resistant Staphylococcus (MRS) was identified in 28.9 % of PJI patients. In addition, fungus accounted for 4.8 % (n=15), non-tuberculosis mycobacterium accounted for 1.6 % (n=5), polymicrobial pathogens accounted for 21.7 % (n=69), and Gram-negative bacteria accounted for 7.9 % (n=25) of the total infections. The results of antibiotic susceptibility testing showed that gentamicin and clindamycin β-lactam antibiotics were poorly susceptible to Gram-positive isolates, but they were sensitive to rifampicin, linezolid and vancomycin. While antibiotics such as amikacin and imipenem were effective against Gram-negative bacteria, there was a high resistance rate of other pathogens to gentamicin, clindamycin and some quinolone antibacterial drugs. Empirical antibiotic treatment should combine vancomycin and cephalosporin, levofloxacin or clindamycin. When the pathogen is confirmed, the treatment should be individualized. Conclusions. The prevalence of culture-negative PJIs is still very high. Gram-positive bacteria are still the main type of pathogens that cause PJIs. Attention should be paid to the high incidence of MRS, such as MRSA and MR-CNS, among PJI patients. Empirical antibiotic treatment should cover Gram-positive isolates, especially Staphylococcus .

scholarly journals Risk factors correlated with antibiotic-induced carbapenem resistant in Gram-negative bacilli in China: a retrospective cohort study

2020 ◽  
Author(s):  
Jing Chen ◽  
Qian Xiang ◽  
Jia-yu Wu ◽  
Min-hong Cai ◽  
Chen Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Risk Model ◽  
Length Of Hospital Stay ◽  
Health Concern ◽  
Gram Negative ◽  
Carbapenem Resistant ◽  
Kaplan Meier

Abstract Background: Increasing resistance to carbapenem, particularly common in Gram-negative bacilli (GNB), has become a growing public health concern around the world. The objective of this study was to investigate risk factors associated with antibiotic-induced carbapenem resistant in Gram-negative bacilli (CR-GNB) among inpatients. Methods: A retrospective cohort study was conducted in one of the largest tertiary A-level hospitals including patients with GNB cultured from any of the clinical specimens who had been admitted for more than 2 calendar days from January 2017 to June 2019. Kaplan-Meier analysis and Cox proportional hazard model were used to estimate the hazard of CR-GNB induction by antibiotics. Results: 2490 patients including 7 cohorts were included. After cox proportional risk model analysis, carbapenems, β-lactamase inhibitors, and cephalosporins had significantly higher hazards than other types of antimicrobial (P<0.001). But even without using any antimicrobials, the hazard would increase with the length of hospital stay. On multivariate analysis, carbapenem was the most principal hazard factor for antibiotic-induced CR-GNB (hazard ratio [HR], 2.968; 95% confidence interval [CI], 1.706～5.162), followed by ICU admission (HR, 1.815; 95% CI, 1.507～2.186), cephalosporin (HR, 1.605; 95% CI, 1.288～1.999), tracheotomy (HR, 1.563; 95% CI, 1.251～1.952) and β-lactamase inhibitor (HR, 1.542; 95% CI, 1.237～1.921). However, quinolone effects on antibiotic-induced CR-GNB were not statistically significant. Conclusions: Prior carbapenem was a strong risk factor for antibiotic-induced CR-GNB, but quinolone was not associated with that. Rational use of carbapenems should be implemented and antimicrobial stewardship policies should be adjusted according to the characteristics of each hospital.

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 A Comparative Study of the Microbiological Efficacy of Polymyxin B on Different Carbapenem-Resistant Gram-Negative Bacteria Infections

2021 ◽  
Vol 8 ◽  
Author(s):  
Qiong Lu ◽  
Hai-Hong Zhu ◽  
Guo-Hua Li ◽  
Ting-Ting Qi ◽  
Liang-Jun Ye ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Clearance Rate ◽  
Bacterial Species ◽  
Polymyxin B ◽  
Gram Negative Bacteria ◽  
Bacterial Clearance ◽  
Gram Negative ◽  
Carbapenem Resistant ◽  
Independent Risk Factors

Objective: The emergence of carbapenem-resistant gram-negative bacteria (CR-GNB) has brought great challenges to clinical anti-infection treatment around the world. Polymyxins are often considered as the last line of defense in the treatment of CR-GNB infections. In this study, we explored the microbiological efficacy of Polymyxin B (PMB) on different CR-GNB infections as well as the factors influencing microbiological efficacy.Methods: CR-GNB infected patients with PMB-based regimens were enrolled. Clinical and microbiological data were collected from the medical electronic record system of the Second Xiangya hospital. The efficacy of PMB on different CR-GNB was evaluated by the clearance rate at 7-days and within the course of treatment, as well as the 30-day mortality rate.Results: A total of 294 CR-GNB infected patients were enrolled: 154 CR-Acinetobacter baumannii (CRAB), 55 CR-Klebsiella pneumoniae (CRKP), and 85 CR-Pseudomonas aeruginosa (CRPA). The CRAB group had the highest 7-day bacterial clearance rate [(CRAB: 39.0%) vs. (CRKP: 29.4%) vs. (CRPA: 14.5%), P = 0.003] and total bacterial clearance rate [(CRAB: 49.0%) vs. (CRKP: 39.8%) vs. (CRPA: 18.2%), P &lt; 0.001] among the three groups, while the bacterial clearance rate of the CRPA group was the lowest. Multivariate logistic regression showed that the differences among the three groups were multiple CR-GNB infections (P = 0.004), respiratory infections (P = 0.001), PMB resistance (P &lt; 0.001), and the combination of tigecycline (P &lt; 0.001). Binary logistic regression showed that multiple CR-GNB infection [(7-day bacterial clearance: P = 0.004) &amp; (total bacterial clearance: P = 0.011)] and bacterial species [(7-day bacterial clearance: P &lt; 0.001) &amp; (total bacterial clearance: P &lt; 0.001)] were independent risk factors for microbiological efficacy.Conclusion: PMB exhibited differential microbiological efficacy on different types of CR-GNB infections; it had the best effect on CRAB, followed by CRKP and CRPA. Multiple CR-GNB infections and bacterial species were independent risk factors for microbiological efficacy.

Inappropriate Empirical Antibiotic Treatment in High-risk Neutropenic Patients With Bacteremia in the Era of Multidrug Resistance

2019 ◽  
Author(s):  
Gemma Martinez-Nadal ◽  
Pedro Puerta-Alcalde ◽  
Carlota Gudiol ◽  
Celia Cardozo ◽  
Adaia Albasanz-Puig ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Antibiotic Treatment ◽  
Empirical Therapy ◽  
Multidrug Resistant ◽  
Coagulase Negative Staphylococci ◽  
Empirical Antibiotic Treatment ◽  
Inappropriate Treatment ◽  
Independent Risk Factors ◽  
Multicenter Prospective Study

Abstract Background We aimed to describe the current rates of inappropriate empirical antibiotic treatment (IEAT) in oncohematological patients with febrile neutropenia (FN) and its impact on mortality. Methods This was a multicenter prospective study of all episodes of bloodstream infection (BSI) in high-risk FN patients (2006–2017). Episodes receiving IEAT were compared with episodes receiving appropriate empirical therapy. Adherence to Infectious Diseases Society of America (IDSA) recommendations was evaluated. Multivariate analysis was performed to identify independent risk factors for mortality in Pseudomonas aeruginosa episodes. Results Of 1615 episodes, including Escherichia coli (24%), coagulase-negative staphylococci (21%), and P. aeruginosa (16%), 394 (24%) received IEAT despite IDSA recommendations being followed in 87% of cases. Patients with multidrug-resistant gram-negative bacilli (MDR-GNB), accounting for 221 (14%) of all isolates, were more likely to receive IEAT (39% vs 7%, P < .001). Overall mortality was higher in patients with GNB BSI who received IEAT (36% vs 24%, P = .004); when considering individual microorganisms, only patients with infection caused by P. aeruginosa experienced a significant increase in mortality when receiving IEAT (48% vs 31%, P = .027). Independent risk factors for mortality in PA BSI (odds ratio [95% confidence interval] were IEAT (2.41 [1.19–4.91]), shock at onset (4.62 [2.49–8.56]), and pneumonia (3.01 [1.55–5.83]). Conclusions IEAT is frequent in high-risk patients with FN and BSI, despite high adherence to guidelines. This inappropriate treatment primarily impacts patients with P. aeruginosa–related BSI mortality and in turn is the only modifiable factor to improve outcomes.

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