We investigated using administrative claims data to identify surgical site infections (SSI) after breast surgery and cesarean section. Postoperative diagnosis codes, procedure codes, and pharmacy information were automatically scanned and used to identify claims suggestive of SSI ("indicators") among 426 (22%) of 1,943 breast procedures and 474 (10%) of 4,859 cesarean sections. For 104 breast procedures with indicators explained in available medical records, SSI were confirmed for 37%, and some infection criteria were present for another 27%. Among 204 cesarean sections, SSI were confirmed for 40%, and some criteria were met for 27%. The extrapolated infection rates of 2.8% for breast procedures and 3.1% for cesarean section were similar to those reported by the National Nosocomial Infection Surveillance program but differ in representing predominantly outpatient infections. Claims data may complement other data sources for identification of surgical site infections following breast surgery and cesarean section.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329046 | PMC |
| http://dx.doi.org/10.3201/eid1011.040784 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Improving communication to increase uptake of high-risk breast cancer prevention appointments: Building a better letter.
PEC Innov
December 2024
Indiana University School of Medicine, Indianapolis, IN, USA.
Objective: Mailed letters to women identified as being at high-risk for developing breast cancer were not having the desired effect for encouraging appointments with prevention-focused providers at a large Midwest healthcare system. A partnership with communication scholars sought to revise the letter to increase awareness, intentions, and appointments.
Methods: Guided by the Extended Parallel Process Model, survey responses were collected from letter recipients over the course of two years, both pre and post letter revision.
Single-cell Atlas reveals core function of CPVL/MSR1 expressing macrophages in the prognosis of triple-negative breast cancer.
Front Immunol
December 2024
Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Background: Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, with the worst prognosis among all subtypes. The impact of distinct cell subpopulations within the tumor microenvironment (TME) on TNBC patient prognosis has yet to be clarified.
Methods: Utilizing single-cell RNA sequencing (scRNA-seq) integrated with bulk RNA sequencing (bulk RNA-seq), we applied Cox regression models to compute hazard ratios, and cross-validated prognostic scoring using a GLMNET-based Cox model.
The benefits of contrast-enhanced ultrasound in the differential diagnosis of suspicious breast lesions.
Front Med (Lausanne)
December 2024
Department of Ultrasound, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Background: Contrast-enhanced ultrasound (CEUS) shows potential for the differential diagnosis of breast lesions in general, but its effectiveness remains unclear for the differential diagnosis of lesions highly suspicious for breast cancers.
Objective: This study aimed to evaluate the diagnostic value of CEUS in differentiating pathological subtypes of suspicious breast lesions defined as category 4 of US-BI-RADS.
Methods: The dataset of 150 breast lesions was prospectively collected from 150 patients who underwent routine ultrasound and CEUS examination and were highly suspected of having breast cancers.
Perfluorocarbon-polyepinephrine core-shell nanoparticles as a near-infrared light activatable theranostic platform for bimodal imaging-guided photothermal/chemodynamic synergistic cancer therapy.
Theranostics
January 2025
Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Activatable multifunctional nanoparticles present considerable advantages in cancer treatment by integrating both diagnostic and therapeutic functionalities into a single platform. These nanoparticles can be precisely engineered to selectively target cancer cells, thereby reducing the risk of damage to healthy tissues. Once localized at the target site, they can be activated by external stimuli such as light, pH changes, or specific enzymes, enabling precise control over the release of therapeutic agents or the initiation of therapeutic effects.
View Article and Find Full Text PDFPredicting the risk of type 2 diabetes mellitus (T2DM) emergence in 5 years using mammography images: a comparison study between radiomics and deep learning algorithm.
J Med Imaging (Bellingham)
January 2025
The University of Tokyo Hospital, Department of Radiology, Tokyo, Japan.
Purpose: The prevalence of type 2 diabetes mellitus (T2DM) has been steadily increasing over the years. We aim to predict the occurrence of T2DM using mammography images within 5 years using two different methods and compare their performance.
Approach: We examined 312 samples, including 110 positive cases (developed T2DM after 5 years) and 202 negative cases (did not develop T2DM) using two different methods.
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!