Purpose: The purpose of this study was to investigate potential differences by sex in the demographic and clinical characteristics of patients treated utilizing a sepsis electronic bundle order set. Risk factors for in-hospital mortality were also assessed.

Methods: Data on patients in whom the sepsis order set was initiated in the emergency department over a 16-month period were entered into the hospital database. Data were analyzed for differences by sex in demographic and clinical factors, treatment modalities, and in-hospital mortality. The Bonferroni correction was applied to account for multiple comparisons; α was set at 0.006 for sex differences.

Findings: A total of 2204 patients were included. Male and female cohorts were similar with regard to a variety of demographic and clinical factors, including age, Emergency Severity Index (ESI) levels 1 and 2, time to disposition, appropriateness of antibiotics, and total fluids given by weight. The ESI is an assessment score ranging from 1 to 5 (1 is emergent). There were modest differences in the source of infection (genitourinary was 4% more common in women; P = 0.03) and mode of arrival (men were 4% more likely to arrive by ambulance; P = 0.03). These differences did not achieve our predefined α of 0.006 when the Bonferroni correction was applied. Factors associated with in-hospital mortality were advanced age, arrival by ambulance, and an ESI level of 1 or 2 (all, P < 0.01).

Implications: Women were more likely to have a genitourinary cause of sepsis and less likely to arrive by ambulance. Risk factors of in-hospital mortality were older age, arrival by ambulance, and an ESI level of 1 or 2, but not sex.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.clinthera.2019.03.016DOI Listing

Publication Analysis

Top Keywords

demographic clinical
12
in-hospital mortality
12
patients treated
8
differences sex
8
sex demographic
8
order set
8
clinical factors
8
bonferroni correction
8
correction applied
8
clinical
4

Similar Publications

Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models.

Genet Med

December 2024

Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN. Electronic address:

Purpose: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records (EHR) with genetic data to understand which decisions may affect performance.

View Article and Find Full Text PDF

Background: Head and neck cancer (HNC) is amongst the 10 most common cancers worldwide and has a major effect on patients' quality of life. Given the complexity of this unique group of patients, a multidisciplinary team approach is preferable. Amongst the debilitating sequels of HNC and/or its treatment, swallowing, speech and voice impairments are prevalent and require the involvement of speech-language pathologists (SLPs).

View Article and Find Full Text PDF

This study aimed to investigate the relationship between unintentional weight loss and 30-day mortality in sepsis patients in the intensive care unit (ICU). A retrospective cohort study sepsis patients in the ICU was conducted using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, involving 1842 sepsis patients in the ICU. We utilized multivariate Cox regression analysis to evaluate the association between unintentional weight loss and the risk of 30-day mortality.

View Article and Find Full Text PDF

Proton pump inhibitors (PPIs) are among the most widely used drugs worldwide. However, their influence on the progression of end-stage kidney disease (ESKD) in established chronic kidney disease (CKD) cases is unclear. Using the Korean Health Insurance Review and Assessment database encoded by the Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM), patients with stage 3 or 4 CKD initiating PPIs or histamine-2 receptor antagonists (H2RAs) for over 90 days were enrolled from 2012 through 2021.

View Article and Find Full Text PDF

This study investigated the incidence of new-onset cardiovascular disorders up to 3.5 years post SARS-CoV-2 infection for 56,400 individuals with COVID-19 and 1,093,904 contemporary controls without COVID-19 in the Montefiore Health System (03/11/2020 to 07/01/2023). Outcomes were new incidence of major adverse cardiovascular event (MACE), arrhythmias, inflammatory heart disease, thrombosis, cerebrovascular disorders, ischemic heart disease and other cardiac disorders between 30 days and (up to) 3.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!