Characterization of Enterobacter cloacae Pneumonia: A Single-Center Retrospective Analysis

Lung ◽  
2011 ◽  
Vol 189 (6) ◽  
pp. 475-483 ◽  
Author(s):  
Jan K. Hennigs ◽  
Hans Jörg Baumann ◽  
Stefan Schmiedel ◽  
Pierre Tennstedt ◽  
Ingo Sobottka ◽  
...  
Keyword(s):  
Retrospective Analysis ◽  
Enterobacter Cloacae ◽  
Single Center

A Retrospective Analysis of Oral Mucosa Pathologies: A Single-Center Trial

2018 ◽  
Vol 1 (34) ◽  
pp. 11-17
Author(s):  
hilal erinanç ◽  
özgül topal
Keyword(s):  
Retrospective Analysis ◽  
Oral Mucosa ◽  
Single Center

scholarly journals Proteinuria in COVID-19: prevalence, characterization and prognostic role

2021 ◽  
Author(s):  
Justine Huart ◽  
Antoine Bouquegneau ◽  
Laurence Lutteri ◽  
Pauline Erpicum ◽  
Stéphanie Grosch ◽  
...  
Keyword(s):  
Urinary Catheter ◽  
Single Center ◽  
Tubular Injury ◽  
Tubular Proteinuria ◽  
Prognostic Role ◽  
Urine Creatinine ◽  
Single Center Study ◽  
Center Study

Abstract Background Proteinuria has been commonly reported in patients with COVID-19. However, only dipstick tests have been frequently used thus far. Here, the quantification and characterization of proteinuria were investigated and their association with mortality was assessed. Methods This retrospective, observational, single center study included 153 patients, hospitalized with COVID-19 between March 28th and April 30th, 2020, in whom total proteinuria and urinary α1-microglobulin (a marker of tubular injury) were measured. Association with mortality was evaluated, with a follow-up until May 7th, 2020. Results According to the Kidney Disease Improving Global Outcomes staging, 14% (n = 21) of the patients had category 1 proteinuria (< 150 mg/g of urine creatinine), 42% (n = 64) had category 2 (between 150 and 500 mg/g) and 44% (n = 68) had category 3 proteinuria (over 500 mg/g). Urine α1-microglobulin concentration was higher than 15 mg/g in 89% of patients. After a median follow-up of 27 [14;30] days, the mortality rate reached 18%. Total proteinuria and urinary α1-microglobulin were associated with mortality in unadjusted and adjusted models. This association was stronger in subgroups of patients with normal renal function and without a urinary catheter. Conclusions Proteinuria is frequent in patients with COVID-19. Its characterization suggests a tubular origin, with increased urinary α1-microglobulin. Tubular proteinuria was associated with mortality in COVID-19 in our restropective, observational study.

Description of the role of pharmacist independent double checks during cognitive order verification of outpatient parenteral anti-cancer therapy

2021 ◽  
pp. 107815522199431
Author(s):  
Jennifer P Booth ◽  
Julie M Kennerly-Shah ◽  
Amber D Hartman
Keyword(s):  
Cancer Therapy ◽  
Medication Error ◽  
Retrospective Analysis ◽  
Error Reporting ◽  
Single Center ◽  
Medication Error Reporting ◽  
Anti Cancer ◽  
Secondary Endpoints ◽  
Type Frequency

Introduction To describe pharmacist interventions as a result of an independent double check during cognitive order verification of outpatient parenteral anti-cancer therapy. Methods A single-center, retrospective analysis of all individual orders for outpatient, parenteral anti-cancer agents within a hematology/oncology infusion center during a 30 day period was conducted. The primary endpoint was error identification rates during first and second verification. Secondary endpoints included the type, frequency, and severity of errors identified during second verification using a modified National Coordinating Council for Medication Error Reporting and Prevention Index. Results A total of 1970 anti-cancer parenteral orders were screened, from which 1645 received an independent double check and were included. The number of errors identified during first and second verification were 30 (1.8%) and 10 (0.6%) respectively; second verification resulted in a 33.3% increase in corrected errors. The 10 errors identified during second verification included: four rate transcriptions to optimize pump interoperability, three rate and/or volume modifications, two dosage adjustments, and one treatment deferral due to toxicity. The severity was classified as Category A for four (40%), Category C for three (30%), and Category D for three (30%) errors. This correlated to a low capacity for harm for seven (70%) and a serious capacity for three (30%) errors. Conclusions Second verification of outpatient, parenteral anti-cancer medication orders resulted in a 33.3% increase in corrected errors. Three errors detected during second verification were determined to have a serious capacity for harm, supporting the value of independent double checks during pharmacist cognitive order verification.

scholarly journals Characterization of resistance mechanisms of Enterobacter cloacae Complex co-resistant to carbapenem and colistin

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shixing Liu ◽  
Renchi Fang ◽  
Ying Zhang ◽  
Lijiang Chen ◽  
Na Huang ◽  
...  
Keyword(s):  
Lipid A ◽  
Efflux Pump ◽  
Resistance Mechanism ◽  
Carbapenem Resistance ◽  
Enterobacter Cloacae ◽  
Resistance Mechanisms ◽  
Colistin Resistance ◽  
Carbapenem Resistant ◽  
Horizontal Spread

Abstract Background The emergence of carbapenem-resistant and colistin-resistant ECC pose a huge challenge to infection control. The purpose of this study was to clarify the mechanism of the carbapenems and colistin co-resistance in Enterobacter cloacae Complex (ECC) strains. Results This study showed that the mechanisms of carbapenem resistance in this study are: 1. Generating carbapenemase (7 of 19); 2. The production of AmpC or ESBLs combined with decreased expression of out membrane protein (12 of 19). hsp60 sequence analysis suggested 10 of 19 the strains belong to colistin hetero-resistant clusters and the mechanism of colistin resistance is increasing expression of acrA in the efflux pump AcrAB-TolC alone (18 of 19) or accompanied by a decrease of affinity between colistin and outer membrane caused by the modification of lipid A (14 of 19). Moreover, an ECC strain co-harboring plasmid-mediated mcr-4.3 and blaNDM-1 has been found. Conclusions This study suggested that there is no overlap between the resistance mechanism of co-resistant ECC strains to carbapenem and colistin. However, the emergence of strain co-harboring plasmid-mediated resistance genes indicated that ECC is a potential carrier for the horizontal spread of carbapenems and colistin resistance.

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