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International Journal of Medical... Aug 2023As diagnostic and prognostic models developed by traditional statistics perform poorly in real-world, artificial intelligence (AI) and Big Data (BD) may improve the... (Review)
Review
BACKGROUND
As diagnostic and prognostic models developed by traditional statistics perform poorly in real-world, artificial intelligence (AI) and Big Data (BD) may improve the supply chain of heart transplantation (HTx), allocation opportunities, correct treatments, and finally optimize HTx outcome. We explored available studies, and discussed opportunities and limits of medical application of AI to the field of HTx.
METHOD
A systematic overview of studies published up to December 31st, 2022, in English on peer-revied journals, have been identified through PUBMED-MEDLINE-WEB of Science, referring to HTx, AI, BD. Studies were grouped in 4 domains based on main studies' objectives and results: etiology, diagnosis, prognosis, treatment. A systematic attempt was made to evaluate studies by the Prediction model Risk Of Bias ASsessment Tool (PROBAST) and the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD).
RESULTS
Among the 27 publications selected, none used AI applied to BD. Of the selected studies, 4 fell in the domain of etiology, 6 in the domain of diagnosis, 3 in the domain of treatment, and 17 in that of prognosis, as AI was most frequently used for algorithmic prediction and discrimination of survival, but in retrospective cohorts and registries. AI-based algorithms appeared superior to probabilistic functions to predict patterns, but external validation was rarely employed. Indeed, based on PROBAST, selected studies showed, to some extent, significant risk of bias (especially in the domain of predictors and analysis). In addition, as example of applicability in the real-world, a free-use prediction algorithm developed through AI failed to predict 1-year mortality post-HTx in cases from our center.
CONCLUSIONS
While AI-based prognostic and diagnostic functions performed better than those developed by traditional statistics, risk of bias, lack of external validation, and relatively poor applicability, may affect AI-based tools. More unbiased research with high quality BD meant for AI, transparency and external validations, are needed to have medical AI as a systematic aid to clinical decision making in HTx.
Topics: Humans; Artificial Intelligence; Big Data; Heart Transplantation; Prognosis; Retrospective Studies
PubMed: 37285695
DOI: 10.1016/j.ijmedinf.2023.105110 -
Intensive Care Medicine Mar 2022Previous studies support the potential efficacy of venovenous extracorporeal membrane oxygenation (vvECMO) for improving survival in severe acute respiratory distress... (Meta-Analysis)
Meta-Analysis
Effect of prone positioning on survival in adult patients receiving venovenous extracorporeal membrane oxygenation for acute respiratory distress syndrome: a systematic review and meta-analysis.
PURPOSE
Previous studies support the potential efficacy of venovenous extracorporeal membrane oxygenation (vvECMO) for improving survival in severe acute respiratory distress syndrome (ARDS) cases. Prone positioning (PP) has been shown to improve the outcomes of moderate-to-severe ARDS patients. Few studies and no randomized controlled trials have evaluated the effect of PP performed in ECMO patients.
METHODS
We performed a systematic review and meta-analysis examining the effect of prone positioning for ARDS patients receiving vvECMO on survival. All authors were contacted to obtain complementary information not mentioned in the original articles. The main objective was to compare 28-day survival in vvECMO patients with PP to vvECMO patients without PP (controls).
RESULTS
Thirteen studies with a combined population of 1836 patients satisfied the inclusion criteria. PP was associated with a significant improvement in 28-day survival (503 survivors among 681 patients in the PP group [74%; 95% CI 71-77] vs. 450 survivors among 770 patients in the control group [58%, 95% CI 55-62]; RR 1.31 [95% CI 1.21-1.41]; I 22% [95% CI 0-62%]; P < 0.0001). Survival was also improved in terms of other endpoints (60-day survival, 90-day survival, ICU survival, and hospital survival). In contrast, the duration of mechanical ventilation was increased in vvECMO patients with PP (mean difference 11.4 days [95% CI 9.2-13.5]; 0.64 [95% CI 0.50-0.78]; I 8%; P < 0.0001).
CONCLUSION
According to this meta-analysis, survival was improved when prone positioning was used in ARDS patients receiving vvECMO. The impact of this combination on survival should be investigated in prospective randomized controlled trials.
Topics: Adult; Extracorporeal Membrane Oxygenation; Humans; Prone Position; Prospective Studies; Respiration, Artificial; Respiratory Distress Syndrome; Retrospective Studies
PubMed: 35037993
DOI: 10.1007/s00134-021-06604-x -
The American Journal of Cardiology Dec 2023Venoarterial extracorporeal membrane oxygenation (VA-ECMO) use for circulatory support in cardiogenic shock results in increased left ventricular (LV) afterload. The use... (Meta-Analysis)
Meta-Analysis
Venoarterial extracorporeal membrane oxygenation (VA-ECMO) use for circulatory support in cardiogenic shock results in increased left ventricular (LV) afterload. The use of concomitant Impella or intra-aortic balloon pump (IABP) have been proposed as adjunct devices for LV unloading. The authors sought to compare head-to-head efficacy and safety outcomes between the 2 LV unloading strategies. We conducted a search of Medline, EMBASE, and Cochrane databases to identify studies comparing the use of Impella to IABP in patients on VA-ECMO. The primary outcome of interest was in-hospital mortality. The secondary outcomes included transition to durable LV assist devices/cardiac transplantation, stroke, limb ischemia, need for continuous renal replacement therapy, major bleeding, and hemolysis. Pooled risk ratios (RRs) with 95% confidence interval and heterogeneity statistic I were calculated using a random-effects model. A total of 7 observational studies with 698 patients were included. Patients on VA-ECMO unloaded with Impella vs IABP had similar risk of short-term all-cause mortality, defined as either 30-day or in-hospital mortality- 60.8% vs 64.9% (RR 0.93 [0.71 to 1.21], I = 71%). No significant difference was observed in transition to durable LV assist devices/cardiac transplantation, continuous renal replacement therapy initiation, stroke, or limb ischemia between the 2 strategies. However, the use of VA-ECMO with Impella was associated with increased risk of major bleeding (57.2% vs 39.7%) (RR 1.66 [1.12 to 2.44], I = 82%) and hemolysis (31% vs 7%) (RR 4.61 [1.24 to 17.17], I2 = 66%) compared with VA-ECMO, along with IABP. In conclusion, in patients requiring VA-ECMO for circulatory support, the concomitant use of Impella or IABP had comparable short-term mortality. However, Impella use was associated with increased risk of major bleeding and hemolysis.
Topics: Humans; Extracorporeal Membrane Oxygenation; Hemolysis; Shock, Cardiogenic; Intra-Aortic Balloon Pumping; Heart-Assist Devices; Stroke; Hemorrhage; Treatment Outcome
PubMed: 37812867
DOI: 10.1016/j.amjcard.2023.09.023 -
Artificial Organs Sep 2022This review aims to systematically evaluate the currently available evidence investigating the use of artificial intelligence (AI) and machine learning (ML) in the field... (Review)
Review
BACKGROUND
This review aims to systematically evaluate the currently available evidence investigating the use of artificial intelligence (AI) and machine learning (ML) in the field of cardiac transplantation. Furthermore, based on the challenges identified we aim to provide a series of recommendations and a knowledge base for future research in the field of ML and heart transplantation.
METHODS
A systematic database search was conducted of original articles that explored the use of ML and/or AI in heart transplantation in EMBASE, MEDLINE, Cochrane database, and Google Scholar, from inception to November 2021.
RESULTS
Our search yielded 237 articles, of which 13 studies were included in this review, featuring 463 850 patients. Three main areas of application were identified: (1) ML for predictive modeling of heart transplantation mortality outcomes; (2) ML in graft failure outcomes; (3) ML to aid imaging in heart transplantation. The results of the included studies suggest that AI and ML are more accurate in predicting graft failure and mortality than traditional scoring systems and conventional regression analysis. Major predictors of graft failure and mortality identified in ML models were: length of hospital stay, immunosuppressive regimen, recipient's age, congenital heart disease, and organ ischemia time. Other potential benefits include analyzing initial lab investigations and imaging, assisting a patient with medication adherence, and creating positive behavioral changes to minimize further cardiovascular risk.
CONCLUSION
ML demonstrated promising applications for improving heart transplantation outcomes and patient-centered care, nevertheless, there remain important limitations relating to implementing AI into everyday surgical practices.
Topics: Artificial Intelligence; Databases, Factual; Heart Transplantation; Humans; Length of Stay; Machine Learning
PubMed: 35719121
DOI: 10.1111/aor.14334 -
Acta Cardiologica May 2024Conventional pacing systems consist of a pacemaker and one or more leads threaded from the device pocket through veins into the heart conducting the pacing therapy to... (Review)
Review
Conventional pacing systems consist of a pacemaker and one or more leads threaded from the device pocket through veins into the heart conducting the pacing therapy to the desired pacing site. Although these devices are effective, approximately one in eight patients treated with these traditional pacing systems experiences a complication attributed to the pacemaker pocket or leads. With the technological advances in electronics, leadless pacemakers that small enough to implant within the heart were introduced. Leadless pacemakers have been developed to overcome many of the challenges of transvenous pacing including complications related to leads or pacemaker pockets. This review aims to provide an overview of advantages of leadless pacemaker, complications and limitations of leadless pacemaker, leadless pacemaker candidate, and future directions of this promising technology.
Topics: Humans; Pacemaker, Artificial; Cardiac Pacing, Artificial; Equipment Design; Arrhythmias, Cardiac
PubMed: 37961771
DOI: 10.1080/00015385.2023.2276537 -
BMC Cardiovascular Disorders Feb 2022Mechanical circulatory support (MCS) devices are widely used for cardiogenic shock (CS). This network meta-analysis aims to evaluate which MCS strategy offers advantages. (Meta-Analysis)
Meta-Analysis
OBJECTIVE
Mechanical circulatory support (MCS) devices are widely used for cardiogenic shock (CS). This network meta-analysis aims to evaluate which MCS strategy offers advantages.
METHODS
A systemic search of PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials was performed. Studies included double-blind, randomized controlled, and observational trials, with 30-day follow-ups. Paired independent researchers conducted the screening, data extraction, quality assessment, and consistency and heterogeneity assessment.
RESULTS
We included 39 studies (1 report). No significant difference in 30-day mortality was noted between venoarterial extracorporeal membrane oxygenation (VA-ECMO) and VA-ECMO plus Impella, Impella, and medical therapy. According to the surface under the cumulative ranking curve, the optimal ranking of the interventions was surgical venting plus VA-ECMO, medical therapy, VA-ECMO plus Impella, intra-aortic balloon pump (IABP), Impella, Tandem Heart, VA-ECMO, and Impella plus IABP. Regarding in-hospital mortality and 30-day mortality, the forest plot showed low heterogeneity. The results of the node-splitting approach showed that direct and indirect comparisons had a relatively high consistency.
CONCLUSIONS
IABP more effectively reduce the incidence of 30-day mortality compared with VA-ECMO and Impella for the treatment of CS.
Topics: Extracorporeal Membrane Oxygenation; Heart, Artificial; Heart-Assist Devices; Hospital Mortality; Humans; Intra-Aortic Balloon Pumping; Network Meta-Analysis; Observational Studies as Topic; Randomized Controlled Trials as Topic; Risk Assessment; Risk Factors; Shock, Cardiogenic; Time Factors; Treatment Outcome
PubMed: 35152887
DOI: 10.1186/s12872-022-02493-0 -
The Cochrane Database of Systematic... Oct 2023The Neonatal Task Force of the International Liaison Committee on Resuscitation (ILCOR) makes practice recommendations for the care of newborn infants in the delivery... (Review)
Review
BACKGROUND
The Neonatal Task Force of the International Liaison Committee on Resuscitation (ILCOR) makes practice recommendations for the care of newborn infants in the delivery room (DR). ILCOR recommends that all infants who are gasping, apnoeic, or bradycardic (heart rate < 100 per minute) should be given positive pressure ventilation (PPV) with a manual ventilation device (T-piece, self-inflating bag, or flow-inflating bag) via an interface. The most commonly used interface is a face mask that encircles the infant's nose and mouth. However, gas leak and airway obstruction are common during face mask PPV. Nasal interfaces (single and binasal prongs (long or short), or nasal masks) and laryngeal mask airways (LMAs) may also be used to deliver PPV to newborns in the DR, and may be more effective than face masks.
OBJECTIVES
To determine whether newborn infants receiving PPV in the delivery room with a nasal interface compared to a face mask, laryngeal mask airway (LMA), or another type of nasal interface have reduced mortality and morbidity. To assess whether safety and efficacy of the nasal interface differs according to gestational age or ventilation device.
SEARCH METHODS
Searches were conducted in September 2022 in CENTRAL, MEDLINE, Embase, Epistemonikos, and two trial registries. We searched conference abstracts and checked the reference lists of included trials and related systematic reviews identified through the search.
SELECTION CRITERIA
We included randomised controlled trials (RCTs) and quasi-RCT's that compared the use of nasal interfaces to other interfaces (face masks, LMAs, or one nasal interface to another) to deliver PPV to newborn infants in the DR.
DATA COLLECTION AND ANALYSIS
Each review author independently evaluated the search results against the selection criteria, screened retrieved records, extracted data, and appraised the risk of bias. If they were study authors, they did not participate in the selection, risk of bias assessment, or data extraction related to the study. In such instances, the study was independently assessed by other review authors. We contacted trial investigators to obtain additional information. We completed data analysis according to the standards of Cochrane Neonatal, using risk ratio (RR) and 95% confidence Intervals (CI) to measure the effect of the different interfaces. We used fixed-effect models and the GRADE approach to assess the certainty of the evidence.
MAIN RESULTS
We included five trials, in which 1406 infants participated. They were conducted in 13 neonatal centres across Europe and Australia. Each of these trials compared a nasal interface to a face mask for the delivery of respiratory support to newborn infants in the DR. Potential sources of bias were a lack of blinding to treatment allocation of the caregivers and investigators in all trials. The evidence suggests that resuscitation with a nasal interface in the DR, compared with a face mask, may have little to no effect on reducing death before discharge (typical risk ratio (RR) 0.72, 95% CI 0.47 to 1.13; 3 studies, 1124 infants; low-certainty evidence). Resuscitation with a nasal interface may reduce the rate of intubation in the DR, but the evidence is very uncertain (RR 0.68, 95% CI 0.54 to 0.85; 5 studies, 1406 infants; very low-certainty evidence). The evidence is very uncertain for the rate of intubation within 24 hours of birth (RR 0.97, 95% CI 0.85 to 1.09; 3 studies, 749 infants; very low-certainty evidence), endotracheal intubation outside the DR during hospitalisation (RR 1.15, 95% CI 0.93 to 1.42; 1 study, 144 infants; very low-certainty evidence) and cranial ultrasound abnormalities (intraventricular haemorrhage (IVH) grade ≥ 3, or periventricular leukomalacia; RR 0.94, 95% CI 0.55 to 1.61; 3 studies, 749 infants; very low-certainty evidence). Resuscitation with a nasal interface in the DR, compared with a face mask, may have little to no effect on the incidence of air leaks (RR 1.09, 95% CI 0.85 to 1.09; 2 studies, 507 infants; low-certainty evidence), or the need for supplemental oxygen at 36 weeks' corrected gestational age (RR 1.06, 95% CI 0.8 to 1.40; 2 studies, 507 infants; low-certainty evidence). We identified one ongoing study, which compares a nasal mask to a face mask to deliver PPV to infants in the DR. We did not identify any completed trials that compared nasal interfaces to LMAs or one nasal interface to another.
AUTHORS' CONCLUSIONS
Nasal interfaces were found to offer comparable efficacy to face masks (low- to very low-certainty evidence), supporting resuscitation guidelines that state that nasal interfaces are a comparable alternative to face masks for providing respiratory support in the DR. Resuscitation with a nasal interface may reduce the rate of intubation in the DR when compared with a face mask. However, the evidence is very uncertain. This uncertainty is attributed to the use of a new ventilation system in the nasal interface group in two of the five trials. As such, it is not possible to differentiate separate, specific effects related to the ventilation device or to the interface in these studies.
Topics: Infant, Newborn; Humans; Resuscitation; Positive-Pressure Respiration; Respiration, Artificial; Intermittent Positive-Pressure Ventilation; Intubation, Intratracheal
PubMed: 37787113
DOI: 10.1002/14651858.CD009102.pub2 -
Clinical Rheumatology Oct 2023Cardiovascular manifestations are common in patients suffering axial spondyloarthritis and can result in substantial morbidity and disease burden. To give an overview of... (Review)
Review
Cardiovascular manifestations are common in patients suffering axial spondyloarthritis and can result in substantial morbidity and disease burden. To give an overview of this important aspect of axial spondyloarthritis, we conducted a systematic literature search of all articles published between January 2000 and 25 May 2023 on cardiovascular manifestations. Using PubMed and SCOPUS, 123 out of 6792 articles were identified and included in this review. Non-radiographic axial spondyloarthritis seems to be underrepresented in studies; thus, more evidence for ankylosing spondylitis exists. All in all, we found some traditional risk factors that led to higher cardiovascular disease burden or major cardiovascular events. These specific risk factors seem to be more aggressive in patients with spondyloarthropathies and have a strong connection to high or long-standing disease activity. Since disease activity is a major driver of morbidity, diagnostic, therapeutic, and lifestyle interventions are crucial for better outcomes. Key Points • Several studies on axial spondyloarthritis and associated cardiovascular diseases have been conducted in the last few years addressing risk stratification of these patients including artificial intelligence. • Recent data suggest distinct manifestations of cardiovascular disease entities among men and women which the treating physician needs to be aware of. • Rheumatologists need to screen axial spondyloarthritis patients for emerging cardiovascular disease and should aim at reducing traditional risk factors like hyperlipidemia, hypertension, and smoking as well as disease activity.
Topics: Male; Humans; Female; Spondylarthritis; Cardiovascular Diseases; Artificial Intelligence; Risk Factors; Spondylitis, Ankylosing; Heart Disease Risk Factors
PubMed: 37418034
DOI: 10.1007/s10067-023-06655-z -
International Journal of Cardiology Jun 2023Sick sinus syndrome (SSS) and atrial fibrillation (AF) frequently coexist and show a bidirectional relationship. This systematic review and meta-analysis aimed to... (Meta-Analysis)
Meta-Analysis
AIMS
Sick sinus syndrome (SSS) and atrial fibrillation (AF) frequently coexist and show a bidirectional relationship. This systematic review and meta-analysis aimed to decipher the precise relationship between SSS and AF, further exploring and comparing different therapy strategies on the occurrence or progression of AF in patients with SSS.
METHODS AND RESULTS
A systematic literature search was conducted until November 2022. A total of 35 articles with 37,550 patients were included. Patients with SSS were associated with new-onset AF compared to those without SSS. Catheter ablation was associated with a lower risk of AF recurrence, AF progression, all-cause mortality, stroke and hospitalization of heart failure compared to pacemaker therapy. Regarding the different pacing strategies for SSS, VVI/VVIR has higher risk of new-onset AF than DDD/DDDR. No significant difference was found between AAI/AAIR and DDD/DDDR, as well as between DDD/DDDR and minimal ventricular pacing (MVP) for AF recurrence. AAI/AAIR was associated with higher risk of all-cause mortality when compared to DDD/DDDR, but lower risk of cardiac death when compared to DDD/DDDR. Right atrial septum pacing was associated with a similar risk of new-onset AF or AF recurrence compared to right atrial appendage pacing.
CONCLUSION
SSS is associated with a higher risk of AF. For patients with both SSS and AF, catheter ablation should be considered. This meta-analysis re-emphasizes that high percentage of ventricular pacing should be avoided in patients with SSS in order to decrease AF burden and mortality.
Topics: Humans; Atrial Fibrillation; Sick Sinus Syndrome; Cardiac Pacing, Artificial; Pacemaker, Artificial; Heart Atria
PubMed: 37023861
DOI: 10.1016/j.ijcard.2023.03.066 -
Frontiers in Cardiovascular Medicine 2023Artificial intelligence can recognize complex patterns in large datasets. It is a promising technology to advance heart failure practice, as many decisions rely on... (Review)
Review
INTRODUCTION
Artificial intelligence can recognize complex patterns in large datasets. It is a promising technology to advance heart failure practice, as many decisions rely on expert opinions in the absence of high-quality data-driven evidence.
METHODS
We searched Embase, Web of Science, and PubMed databases for articles containing "artificial intelligence," "machine learning," or "deep learning" and any of the phrases "heart transplantation," "ventricular assist device," or "cardiogenic shock" from inception until August 2022. We only included original research addressing post heart transplantation (HTx) or mechanical circulatory support (MCS) clinical care. Review and data extraction were performed in accordance with PRISMA-Scr guidelines.
RESULTS
Of 584 unique publications detected, 31 met the inclusion criteria. The majority focused on outcome prediction post HTx ( = 13) and post durable MCS ( = 7), as well as post HTx and MCS management ( = 7, = 3, respectively). One study addressed temporary mechanical circulatory support. Most studies advocated for rapid integration of AI into clinical practice, acknowledging potential improvements in management guidance and reliability of outcomes prediction. There was a notable paucity of external data validation and integration of multiple data modalities.
CONCLUSION
Our review showed mounting innovation in AI application in management of MCS and HTx, with the largest evidence showing improved mortality outcome prediction.
PubMed: 36910520
DOI: 10.3389/fcvm.2023.1127716