Raw data and SPSS analysis for the article Bacterial and fungal co-infections among ICU COVID-19 hospitalized patients in a Palestinian hospital: Incidence and antimicrobial stewardship
Naseef, Hani (2021), Raw data and SPSS analysis for the article Bacterial and fungal co-infections among ICU COVID-19 hospitalized patients in a Palestinian hospital: Incidence and antimicrobial stewardship, Dryad, Dataset, https://doi.org/10.5061/dryad.08kprr53r
The attached data is related to a study with proposes to investigate the burden of bacterial and fungal co-infections outcomes on COVID-19 patients. It is a single-center cross-sectional study of hospitalized COVID-19 patients at Beit-Jala hospital in Palestine. The study included 321 hospitalized patients admitted to the ICU between June 2020 and March 2021 aged ≥20 years,
Background: Diagnosis of co-infections with multiple pathogens among hospitalized COVID-19 patients can be jointly challenging and very essential for appropriate treatment, shortening hospital stay and preventing antimicrobial resistance. This study proposes to investigate the burden of bacterial and fungal co-infections outcomes on COVID-19 patients. It is a single center cross-sectional study of hospitalized COVID-19 patients at Beit-Jala hospital in Palestine.
Methods: The study included 321 hospitalized patients admitted to the ICU between June 2020 and March 2021 aged ≥20 years, with a confirmed diagnosis of COVID-19 via RT-PCR conducted on a nasopharyngeal swab. The patient's information was gathered using graded data forms from electronic medical reports.
Results: The diagnosis of bacterial and fungal infection was proved through the patient`s clinical presentation and positive blood or sputum culture results. All cases had received empirical antimicrobial therapy before the ICU admission, and different regimens during the ICU stay. The rate of bacterial co-infection was 51.1%, mainly from gram-negative isolates (Enterobacter species and K.pneumoniae). The rate of fungal co-infection caused by A.fumigatus was 48.9%, and the mortality rate was 8.1%. However, it is unclear if it had been attributed to SARS-CoV-2 or coincidental.
Data extraction was done manually and verified by a second researcher, using graded data forms from electronic medical reports. The obtained data were socio-demographics, chronic comorbidities, laboratory findings (CRP, Leukocytes, blood Oxygen saturation), duration of ICU stay and other factors. The bacterial or fungal co-infection was proved through clinical presentation and positive blood or sputum testing via Laboratory Information System. Before and during the ICU admission, antimicrobial utilization was recorded, and the reports were double-checked for accuracy and completeness
The analysis was performed on these data and summarized socio-demographic and clinical characteristics using relevant descriptive statistics; categorical variables as percentages and frequencies. Then Pearson`s Chi-square test was performed to determine the association between the main parameters, which were the ICU residency duration and the other factors such as; demographics, Iron supplements, antibiotics administration before and during the ICU admission and smoking habits, etc. Data was applied and presented upon the IBM Statistical Package for the Social Sciences version 22.0. (SPSS).
README file.xlsx contains metadata concerning the abbreviation and the entries in the SPSS
Raw data xlsx: file contains all the collected data.
PDF File named variables and Output final: contains data view and variables view, all the analysis of the study from Social Sciences version