Cardiovascular Implantable Electronic Device Infection and New Insights About Correlation Between Pro-inflammatory Markers and Heart Failure: A Systematic Literature Review and Meta-Analysis

Zerbo, Stefania; Perrone, Giulio; Bilotta, Clio; Adelfio, Valeria; Malta, Ginevra; Pasquale, Pietro Di; Maresi, E; Argo, Antonina

doi:10.3389/fcvm.2021.602275

Cited by 2 publications

(3 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, systematic inflammation is crucial in the development of post‐CA syndrome 31 . Several previous reports have shown that increased RDW level relates to a lot of misregulations including senescence, oxidative stress, systemic inflammation, malnutrition, and impaired kidney function 32,33 . Because of that, we hypothesize that increased RDW can potentially reflect a poor prognosis on CA patients through misregulations like oxidative stress and systemic inflammation.…”

Section: Discussionmentioning

confidence: 85%

“… 31 Several previous reports have shown that increased RDW level relates to a lot of misregulations including senescence, oxidative stress, systemic inflammation, malnutrition, and impaired kidney function. 32 , 33 Because of that, we hypothesize that increased RDW can potentially reflect a poor prognosis on CA patients through misregulations like oxidative stress and systemic inflammation. More basic research is certainly required for a better understanding of the potential mechanisms included.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Relationship between initial red cell distribution width and ΔRDW and mortality in cardiac arrest patients

Zhong,

Zhang,

et al. 2023

ESC Heart Failure

View full text Add to dashboard Cite

AimsThere has been a lack of research examining the relationship between red cell distribution width (RDW) and the prognosis of cardiac arrest (CA) patients. The prognostic value of the changes in RDW during intensive care unit (ICU) hospitalization for CA patients has not been investigated. This study aims to investigate the correlation between RDW measures at ICU admission and RDW changes during ICU hospitalization and the prognosis of CA patients and then develop a nomogram that predicts the risk of mortality of these patients.Methods and resultsA retrospective cohort study is used to collect clinical characteristics of CA patients (>18 years) that are on their first admission to ICU with RDW data measured from the Medical Information Mart for Intensive Care IV Version 2.0 database. Patients are randomly divided into a development cohort (75%) and a validation cohort (25%). The primary outcome is 30 and 360 day all‐cause mortality. ΔRDW is defined as the RDW on ICU discharge minus RDW on ICU admission. A multivariate Cox regression model is applied to test whether the RDW represents an independent risk factor that affects the all‐cause mortality of these patients. Meanwhile, the dose–response relationship between the RDW and the mortality is described by restricted cubic spine (RCS). A prediction model is constructed using a nomogram, which is then assessed using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). A total of 1278 adult CA patients are included in this study. We found that non‐survivors have a higher level of RDW and ΔRDW compared with survivors, and the mortality rate is higher in the high RDW group than in the normal RDW group. The Kaplan–Meier survival curve indicates that patients in the normal RDW group had a higher cumulative survival rate at 30 and 360 days than those in the high RDW group (log‐rank test, χ2 = 36.710, χ2 = 54.960, both P values <0.05). The multivariate Cox regression analysis shows that elevated RDW at ICU admission (>15.50%) is an independent predictor of 30 [hazard ratio = 1.451, 95% confidence interval (CI) = 1.181–1.782, P < 0.001] and 360 day (hazard ratio = 1.393, 95% CI = 1.160–1.671, P < 0.001) all‐cause mortality among CA patients, and an increase in RDW during ICU hospitalization (ΔRDW ≥ 0.4%) can serve as an independent predictor of mortality among these patients. A non‐linear relationship between the RDW measured at ICU admission and the increased risk of mortality rate of these patients is shown by the RCS. This study established and validated a nomogram based on six variables, anion gap, first‐day Sequential Organ Failure Assessment score, cerebrovascular disease, malignant tumour, norepinephrine use, and RDW, to predict mortality risk in CA patients. The consistency indices of 30 and 360 day mortality of CA patients in the validation cohort are 0.721 and 0.725, respectively. The nomogram proved to be well calibrated in the validation cohort. DCA curves indicated that the nomogram provided a higher net benefit over a wide, reasonable range of threshold probabilities for predicting mortality in CA patients and could be adapted for clinical decision‐making.ConclusionsElevated RDW levels on ICU admission and rising RDW during ICU hospitalization are powerful predictors of all‐cause mortality for CA patients at 30 and 360 days, and they can be used as potential clinical biomarkers to predict the bad prognosis of these patients. The newly developed nomogram, which includes RDW, demonstrates high efficacy in predicting the mortality of CA patients.

show abstract

Section: Discussionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Relationship between initial red cell distribution width and ΔRDW and mortality in cardiac arrest patients

Zhong,

Zhang,

et al. 2023

ESC Heart Failure

View full text Add to dashboard Cite

show abstract

“…Infection is a common and frequent complication associated with all types of biomedical materials, despite the infection rate varying greatly among different intended uses of various implantable devices ( Table 2 ) [ 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 ]. Orthopedic implants, such as the ankle, hip, knee, elbow, shoulder, and finger joint prosthetics, are made of metals (titanium alloys, stainless steel, cobalt-chromium alloy, etc.)…”

Section: Clinical Features Of Device-associated Infectionsmentioning

confidence: 99%

Antibacterial Designs for Implantable Medical Devices: Evolutions and Challenges

Cao

Qiao

Qin

2022

JFB

View full text Add to dashboard Cite

The uses of implantable medical devices are safer and more common since sterilization methods and techniques were established a century ago; however, device-associated infections (DAIs) are still frequent and becoming a leading complication as the number of medical device implantations keeps increasing. This urges the world to develop instructive prevention and treatment strategies for DAIs, boosting the studies on the design of antibacterial surfaces. Every year, studies associated with DAIs yield thousands of publications, which here are categorized into four groups, i.e., antibacterial surfaces with long-term efficacy, cell-selective capability, tailored responsiveness, and immune-instructive actions. These innovations are promising in advancing the solution to DAIs; whereas most of these are normally quite preliminary “proof of concept” studies lacking exact clinical scopes. To help identify the flaws of our current antibacterial designs, clinical features of DAIs are highlighted. These include unpredictable onset, site-specific incidence, and possibly involving multiple and resistant pathogenic strains. The key point we delivered is antibacterial designs should meet the specific requirements of the primary functions defined by the “intended use” of an implantable medical device. This review intends to help comprehend the complex relationship between the device, pathogens, and the host, and figure out future directions for improving the quality of antibacterial designs and promoting clinical translations.

show abstract

Cardiovascular Implantable Electronic Device Infection and New Insights About Correlation Between Pro-inflammatory Markers and Heart Failure: A Systematic Literature Review and Meta-Analysis

Cited by 2 publications

References 47 publications

Relationship between initial red cell distribution width and ΔRDW and mortality in cardiac arrest patients

Relationship between initial red cell distribution width and ΔRDW and mortality in cardiac arrest patients

Antibacterial Designs for Implantable Medical Devices: Evolutions and Challenges

Contact Info

Product

Resources

About