Data processing and statistical analysis was done using the SPSS version 26 software package (IBM Inc.m Armonk, New York). Categorical data was compared using Pearson's Chi-squared test, and continuous variables were compared using the independent samples t-test. Multivariate regression utilizing binomial logistic regression was performed with in-hospital mortality as the primary outcome. Multivariate regression was conducted to study the effects of CVC insertion on in-hospital mortality, with covariates including age, sex, race, primary payer status, and select medical comorbidities from the Charlson comorbidity index. A p-value of <0.05 was considered significant for all statistical comparisons.
Agranulocytosis and Central Line Complications
Data processing and statistical analysis was done using the SPSS version 26 software package (IBM Inc.m Armonk, New York). Categorical data was compared using Pearson's Chi-squared test, and continuous variables were compared using the independent samples t-test. Multivariate regression utilizing binomial logistic regression was performed with in-hospital mortality as the primary outcome. Multivariate regression was conducted to study the effects of CVC insertion on in-hospital mortality, with covariates including age, sex, race, primary payer status, and select medical comorbidities from the Charlson comorbidity index. A p-value of <0.05 was considered significant for all statistical comparisons.
Corresponding Organization :
Other organizations : Danbury Hospital, American University of the Caribbean School of Medicine
Variable analysis
- CVC insertion
- In-hospital mortality
- Primary payer status
- Select medical comorbidities from the Charlson comorbidity index
Annotations
Based on most similar protocols
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!