Background: Sternal wound infection (SWI) following cardiothoracic surgery is a major complication. It may significantly impact patient recovery, treatment cost and mortality rates. No universal guideline exists on SWI management, and more recently the focus has become prevention over treatment. Recent studies report positive outcomes with closed incision negative pressure therapy (ciNPT) on surgical incisions, particularly for patients at risk of poor wound healing.
Objective: This study aims to assess the effect of ciNPT on SWI incidence in high-risk patients.
Methods: A retrospective study was performed to investigate the benefit of ciNPT post sternotomy. Patients 3 years before the introduction of ciNPT (Control group) and 3 years after ciNPT availability (ciNPT group) were included. Only patients that had two or more of the risk factors; obesity, Chronic Obstructive Pulmonary Disease, old age and diabetes mellitus in the High Risk ciNPT cohort were given the ciNPT dressing. Patient demographics, EuroSCOREs and length of staywere reported as mean ± standard deviation. The Fisher's exact test (two-tailed) and an unpaired t-test (two-tailed) were used to calculate the p-value for categorical data and continuous data, respectively.
Results: The total number of patients was 1859 with 927 in the Control group and 932 in the ciNPT group. No statistical differences were noted between the groups apart from the Logistic EuroSCORE (Control = 6.802 ± 9.7 vs. ciNPT = 8.126 ± 11.3; P = 0.0002). The overall SWI incidence decreased from 8.7 to 4.4% in the overall groups with the introduction of ciNPT (P = 0.0005) demonstrating a 50% reduction. The patients with two and above risk factor in the Control Group (High Risk Control Group) were 162 while there was 158 in the ciNPT Group (High Risk ciNPT Group). The two groups were similar in all characteristics. Although the superficial and deep sternal would infections were higher in the High Risk Control Group versus the High Risk ciNPT group patients (20(12.4%) vs 9(5.6%); P = 0.049 respectively), the length of postoperative stay was similar in both (13.0 ± 15.1 versus 12.2 ± 15.6 days; p + 0.65). However the patients that developed infections in the two High Risk Groups stayed significantly longer than those who did not (25.5 ± 27.7 versus 12.2 ± 15.6 days;P = 0.008). There were 13 deaths in Hospital in the High Risk Control Group versus 10 in the High Risk ciNPT Group (P = 0.66).
Conclusion: In this study, ciNPT reduced SWI incidence post sternotomy in patients at risk for developing SWI. This however did not translate into shorter hospital stay or mortality.
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http://dx.doi.org/10.1186/s13019-020-01265-1 | DOI Listing |
Sci Rep
December 2024
School of Physical Education, Southwest Petroleum University, Chengdu, 610500, China.
Stroke is one of the leading causes of death in developing countries, and China bears the largest global burden of stroke. This study aims to investigate the relationship between different dimensions of physical activity levels and stroke risk using a nationally representative database. We performed a cross-sectional analysis using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020.
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December 2024
The School of Nursing, Fujian Medical University, No. 1 Xuefu North Road, Fuzhou, 350122, Fujian, China.
Diabetes Mellitus combined with Mild Cognitive Impairment (DM-MCI) is a high incidence disease among the elderly. Patients with DM-MCI have considerably higher risk of dementia, whose daily self-care and life management (i.e.
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December 2024
Weather Program Office, Ocean and Atmospheric Research, NOAA, Silver Spring, MD, USA.
Tropical cyclone risks are expected to increase with climate change. One such risk is extreme ocean waves generated by surface winds from these systems. We use synthetic databases of both historical (1980-2017) and future (2015-2050) tropical cyclone tracks to generate wind fields and force a computationally efficient wave model to estimate significant wave heights across all global tropical cyclone basins.
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December 2024
School of Pharmacy, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China.
Cuproptosis, a newly identified form of cell death, has drawn increasing attention for its association with various cancers, though its specific role in colorectal cancer (CRC) remains unclear. In this study, transcriptomic and clinical data from CRC patients available in the TCGA database were analyzed to investigate the impact of cuproptosis. Differentially expressed genes linked to cuproptosis were identified using Weighted Gene Co-Expression Network Analysis (WGCNA).
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December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
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