Construction and Validation of a Predictive Model for Mortality Risk in Patients with Acinetobacter baumannii Bloodstream Infection DOI Creative Commons
X H Li,

Donghao Cai,

Chuangchuang Mei

et al.

Infection and Drug Resistance, Journal Year: 2024, Volume and Issue: Volume 17, P. 5247 - 5260

Published: Nov. 1, 2024

To develop and validate a predictive model for the risk of death in patients with

Language: Английский

Construction and validation of a predictive model for mortality risk in patients with Acinetobacter baumannii-induced septicaemia DOI Creative Commons
Xiaojun Li,

Donghao Cai,

Chuangchuang Mei

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: June 20, 2024

Abstract Purpose To develop and validate a predictive model for the risk of death in patients with Acinetobacter baumannii (A. baumannii) sepsis clinical decision-making patient management.Methods Demographic data related to A. admitted Guangdong Second Traditional Chinese Medicine Hospital 13 consecutive years from January 2011 December 2023 were collected. The 160 2011–December 2020 composed training cohort, 46 2021–December validation cohort according time admission. LASSO regression analysis multivariate Cox used determine independent factors sepsis, nomogram was constructed based on results regression. evaluated using area under curve (AUC) subject's work characteristics (ROC) curve, decision (DCA), standard curves discrimination, accuracy, calibration.Results Comorbid septic shock, an elevated neutrophil/lymphocyte ratio (NLR), low hemoglobin levels, platelet counts found be sepsis. With models these four variables, AUCs ROC test cohorts prognostic scenarios at 7, 14, 28 days not less than 0.850, risk-of-death prediction highest both groups 7 days, 0.907 0.886, respectively. two sets calibration show that oscillate around 45° diagonal line there is good correlation between actual predicted risk, high degree calibration. shows has strong discriminatory ability when probability 10% 70%, net benefit greater.Conclusion variables constructing are convenient easily available, proposed value can widely used.

Language: Английский

Citations

0

Epidemiological study on non-drug-resistant Acinetobacter DOI Creative Commons

Yan Linsheng,

Mohd Zaki Mohd Zaili,

Shu Meng Goh

et al.

Romanian Journal of Infectious Diseases, Journal Year: 2024, Volume and Issue: 27(2), P. 135 - 146

Published: June 30, 2024

Objective. To explore the prevalence of non-drug-resistant Acinetobacter, in order to provide a theoretical basis for clinical anti-infection treatment Acinetobacter. Methods. The medical records inpatients various departments hospital were retrospectively sorted out, and data covered many aspects human body such as blood, saliva, sputum tissue. Immediately after collection, samples labeled stored refrigerator at 8°C investigate distribution prevalence. Results. Among 158 strains A. baumannii, 30 obtained from (18.98%). second most common type was 11 urine (6.96%); 44 blood samples, accounting 27.85%. age follows: 8 (11.39%) minors under 18 years age; There 20 plants (12.66%) aged old; 75 (47.47%) over 60 old. Nine non-resistant included, highest proportion Boumani, followed by Boumani Hospital Pittsburgh. At present, bacterial strain is mostly detected mainly distributed middle-aged old patients 50 old, relatively popular ICU FMW departments. Conclusion. drug-resistant baumannii specimens tends accumulate ICU, nosocomial infection caused this disease concentrated elderly with basic diseases, high detection rate. Acinetobacter are generally resistant, polymyxin B minocycline often first choice therapy.

Language: Английский

Citations

0

Expanding the substrate selectivity of the fimsbactin biosynthetic adenylation domain, FbsH DOI Creative Commons
Syed Fardin Ahmed, Adam Balutowski, Jinping Yang

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 26, 2024

Abstract Nonribosomal peptide synthetases (NRPSs) produce diverse natural products including siderophores, chelating agents that many pathogenic bacteria to survive in low iron conditions. Engineering NRPSs siderophore analogs could lead the generation of novel antibiotics and imaging take advantage this unique uptake system bacteria. The highly antibiotic-resistant Acinetobacter baumannii produces fimsbactin, an unusual branched with iron-binding catechol groups bound a serine or threonine side chain. To explore substrate promiscuity assembly line enzymes, we report structure-guided investigation stand-alone aryl adenylation enzyme FbsH. We on structures its native 2,3-dihydroxybenzoic acid (DHB) as well inhibitor mimics adenylate intermediate. produced variants expanded binding pocket are more tolerant for containing DHB C4 modification. Wild-type mutant enzymes were then used vitro reconstitution analysis assess production final product several early-stage intermediates. This shows some altered substrates progress down fimsbactin downstream domains. However, from alternate building blocks at lower levels, indicating selectivity exists catalytic These findings expand scope producing condensation between acids identify bottlenecks chemoenzymatic analogs.

Language: Английский

Citations

0

Transcriptomic insights into the virulence of Acinetobacter baumannii during infection—role of iron uptake and siderophore production genes DOI Open Access
Kah Ern Ten, Sadequr Rahman, Hock Siew Tan

et al.

FEBS Letters, Journal Year: 2024, Volume and Issue: 599(1), P. 120 - 139

Published: Nov. 21, 2024

Acinetobacter baumannii , a top‐priority WHO pathogen, causes life‐threatening infections in immunocompromised patients, leading to prolonged hospitalisation and high mortality. Here, we used the Galleria mellonella model investigate community strain C98 (Ab‐C98) virulence via transcriptomic analysis. Ab‐C98 showed greater killing faster colonisation larvae than clinical reference (ATCC BAA1605). Genes three iron clusters, acinetobactin, baumannoferrin Feo system, were significantly up‐regulated. Targeted knockout of siderophore genes ( basC bfnD gene encoding isochorismatase) increased survival infected by at least 35.16%, identifying these as potential targets for developing anti‐virulence agents against A. .

Language: Английский

Citations

0

phenotypic and Genotypic Detection of Carbapenemases in Clinical Isolates of Acinetobacter baumannii DOI Creative Commons

Alya Amer Rahi

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 24, 2024

Abstract Acinetobacter baumannii, a Gram-negative coccobacillus with short and round rod-like shape, is an opportunistic pathogen in immunocompromised patients, particularly prevalent as nosocomial infection. A notable characteristic its diverse antibiotic resistance mechanisms.The isolation of A. baumannii strains hospitals becoming more prevalent, presenting escalating challenge the treatment process.In present study involving 400 isolates obtained from sources (blood, urine, wound, burn swabs), Antimicrobial Susceptibility Testing (AST) results for( 28)Acinetobacter revealed pronounced resistance. Notably, rates were notably high for piperacillin (80%) carbenicillin (81`.2%). Resistance to Imipenem meropenem stood at 8.4% 19.8%, respectively, while highest was recorded against gentamicin (82%), amikacin (72.6%), cefepime (60.8%), cefotaxime (70.2%), ceftazidime ceftriaxone (71.6%). Molecular detection Enzymatic genes executed through PCR testing, revealing that, All 28 (100%) exhibited presence blaOXA-51type gene, considered pointer finding bacteria by PCR. The prevailing MBL gene blaVIM-type, identified 12(42.8)% isolates. Furthermore, 10(35.7% )of carried blaKPC- gene.In conclusion identification these (blaOXA-51, blaVIM, blaKPC-type) . Addressing antibiotic-resistant challenges healthcare; crucial understand, monitor, regulate dissemination public health.

Language: Английский

Citations

0

Construction and Validation of a Predictive Model for Mortality Risk in Patients with Acinetobacter baumannii Bloodstream Infection DOI Creative Commons
X H Li,

Donghao Cai,

Chuangchuang Mei

et al.

Infection and Drug Resistance, Journal Year: 2024, Volume and Issue: Volume 17, P. 5247 - 5260

Published: Nov. 1, 2024

To develop and validate a predictive model for the risk of death in patients with

Language: Английский

Citations

0