Exercise training outcomes in patients with chronic heart failure with reduced ejection fraction depend on patient background

Background

The aim of this study was to identify significant factors affecting the effectiveness of exercise training using information of the HF-ACTION (Heart Failure: A Controlled Trial Investigating Outcomes of Exercise Training) study.

Methods

Background factors influencing the effect of exercise training were comprehensively surveyed for 2,130 patients by multivariable Cox regression analysis with the stepwise variable selection, and only significant factors were selected that were statistically distinguished from dummy noise factors using the Boruta method.

Results

The analysis suggested that the use of beta-blockers, pulse pressure, hemoglobin level, electrocardiography findings, body mass index, and history of stroke at baseline potentially influenced the exercise effect on all-cause death (AD). Therefore, a hypothetical score to estimate the effect of exercise training was constructed based on the analysis. The analysis suggested that the score is useful in identifying patients for whom exercise training may be significantly effective in reducing all-caused death and hospitalization (ADH) as well as AD. Such a subpopulation accounted for approximately 40% of the overall study population. On the other hand, in approximately 45% of patients, the effect of exercise was unclear on either AD or ADH. In the remaining 15% of patients, it was estimated that the effect of exercise might be unclear for ADH and potentially rather increase AD.

Conclusions

This study is the first analysis to comprehensively evaluate the effects of various factors on the outcome of exercise training in chronic heart failure, underscoring the need to carefully consider the patient's background before recommending exercise training. However, it should be noted that exercise training can improve many outcomes in a wide variety of diseases. Therefore, given the limitations involved in post-hoc analyses of a single clinical trial, the characteristics of patients to whom the results of this analysis can be applied need attention, and also further research is necessary on the relationship between the degree of exercise and the outcomes. A new clinical trial would be needed to confirm the factors detected and the appropriateness of the score.

Colon Bowel Preparation in the Era of Artificial Intelligence: Is There Potential for Enhancing Colon Bowel Cleansing?

BACKGROUND AND OBJECTIVES

Proper bowel preparation is of paramount importance for enhancing adenoma detection rates and reducing postcolonoscopic colorectal cancer risk. Despite recommendations from gastroenterology societies regarding the optimal rates of successful bowel preparation, these guidelines are frequently unmet. Various approaches have been employed to enhance the rates of successful bowel preparation, yet the quality of cleansing remains suboptimal. Intensive bowel preparation techniques, supplementary administration of bowel solutions, and educational interventions aimed at improving patient adherence to instructions have been commonly utilized, particularly among patients at a high risk of inadequate bowel preparation. Expedited strategies conducted on the same day as the procedure have also been endorsed by scientific organizations. More recently, the utilization of artificial intelligence (AI) has emerged for the preprocedural detection of inadequate bowel preparation, holding the potential to guide the preparation process immediately preceding colonoscopy. This manuscript comprehensively reviews the current strategies employed to optimize bowel cleansing, with a specific focus on patients with elevated risks for inadequate bowel preparation. Additionally, the prospective role of AI in this context is thoroughly examined.

CONCLUSIONS

While a majority of outpatients may achieve cleanliness with standard cleansing protocols, dealing with hard-to-prepare patients remains a challenge. Rescue strategies based on AI are promising, but such evidence remains limited. To ensure proper bowel cleansing, a combination of strategies should be performed.

Improvement of Predictive Scores in Burn Medicine through Different Machine Learning Approaches

The mortality of severely burned patients can be predicted by multiple scores which have been created over the last decades. As the treatment of burn injuries and intensive care management have improved immensely over the last years, former prediction scores seem to be losing accuracy in predicting survival. Therefore, various modifications of existing scores have been established and innovative scores have been introduced. In this study, we used data from the German Burn Registry and analyzed them regarding patient mortality using different methods of machine learning. We used Classification and Regression Trees (CARTs), random forests, XGBoost, and logistic regression regarding predictive features for patient mortality. Analyzing the data of 1401 patients via machine learning, the factors of full-thickness burns, patient's age, and total burned surface area could be identified as the most important features regarding the prediction of patient mortality following burn trauma. Although the different methods identified similar aspects, application of machine learning shows that more data are necessary for a valid analysis. In the future, the usage of machine learning can contribute to the development of an innovative and precise predictive score in burn medicine and even to further interpretations of relevant data regarding different forms of outcome from the German Burn registry.

Procedural Success Prediction Scoring Systems Used in Percutaneous Coronary Interventions for Chronic Total Occlusions: A Systematic Evaluation

(1) Background: Data suggest that patients with coronary chronic total occlusion (CTO) managed with percutaneous coronary intervention (PCI) could have better outcomes than those treated with optimal medical therapy alone. We aimed to systematically review dedicated scoring systems used to predict successful PCI in patients with CTO. (2) Methods: Electronic databases of MEDLINE (PubMed), Embase, and Cochrane were searched. (3) Results: 32 studies were included. We provided insights into all available predictive models of PCI success in CTO including predictive performance, validations, and comparisons between different scores and models' limitations. Considering the differences in the population included, coronary lesions, and techniques applied across clinical studies, the most used scores displayed a modest to good predictive value, as follows: J-CTO (AUC, 0.55-0.868), PROGRESS-CTO (AUC, 0.557-0.788), CL (AUC, 0.624-0.800), CASTLE (AUC, 0.633-0.68), and KCCT (AUC, 0.703-0.776). As PCI for CTO is one of the most complex interventions, using dedicated scoring systems could ensure an adequate case selection as well as preparation for an appropriate recanalization technique in order to increase chances of successful procedure. (4) Conclusion: Clinical models appear to be valuable tools for the prediction of PCI success in CTO patients. Clinicians should be aware of the limitations of each model and should be able to correctly select the most appropriate score according to real-life case particularities such as lesion complexity and operator experience in order to maximize success and achieve the best patients' outcomes.

Extracorporeal Support Prognostication-Time to Move the Goal Posts?

Advances in extracorporeal membrane oxygenation (ECMO) technology are associated with expanded indications, increased utilization and improved outcome. There is growing interest in developing ECMO prognostication scores to aid in bedside decision making. To date, the majority of available scores have been limited to mostly registry-based data and with mortality as the main outcome of interest. There continues to be a gap in clinically applicable decision support tools to aid in the timing of ECMO cannulation to improve patients' long-term outcomes. We present a brief review of the commonly available adult and pediatric ECMO prognostication tools, their limitations, and future directions.

Incorporating Prognostic Biomarkers into Risk Assessment Models and TNM Staging for Prostate Cancer

In current practice, prostate cancer staging alone is not sufficient to adequately assess the patient's prognosis and plan the management strategies. Multiple clinicopathological parameters and risk tools for prostate cancer have been developed over the past decades to better characterize the disease and provide an enhanced assessment of prognosis. Herein, we review novel prognostic biomarkers and their integration into risk assessment models for prostate cancer focusing on their capability to help avoid unnecessary imaging studies, biopsies and diagnosis of low risk prostate cancers, to help in the decision-making process between active surveillance and treatment intervention, and to predict recurrence after radical prostatectomy. There is an imperative need of reliable biomarkers to stratify prostate cancer patients that may benefit from different management approaches. The integration of biomarkers panel with risk assessment models appears to improve prostate cancer diagnosis and management. However, integration of novel genomic biomarkers in future prognostic models requires further validation in their clinical efficacy, standardization, and cost-effectiveness in routine application.

Predictive Factors of Pancreatic Fistula After Pancreaticoduodenectomy and External Validation of Predictive Scores

BACKGROUND/AIM

The Fistula Risk Score (FRS), as other risk scores, is a validated model predicting the development of a clinically relevant post-operative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy (PD). We evaluated risk factors related with CR-POPF and correlated four predictive scores with the likelihood of developing CR-POPF in our cohort.

PATIENTS AND METHODS

The records of 107 patients who underwent PD from 2007 to 2015 were obtained from a prospectively maintained database and reviewed. CR-POPFs were categorized by the International Study Group of Pancreatic Fistula (ISGPF) standards. Firstly, a univariate and multivariate analysis of risk factors related to CR-PPOPF was performed, and then the data were correlated with FRS, Wellner's, Robert's and Yamamoto's scores.

RESULTS

In total, 30 patients developed a CR-POPF. On multivariate analysis, abdominal thickness (OR=1.02, p=0.010), Wirsung's duct diameter (OR=0.57, p=0.029), pancreatic consistency (OR=3.18, p=0.011) and histological diagnosis of the lesion (OR=1.65, p=0.012) represented independent predictive factors of CR-POPF. FRS (R²=0.596, p=0.001), Wellner's score (R²=0.285, p=0.005) and Roberts' score (R²=0.385, p=0.002) correlated with the likelihood of developing CR-POPF.

CONCLUSION

Abdominal thickness, Wirsung's duct diameter, pancreatic consistency and histological diagnosis were independent predictive factors of CR-POPF. Predictive scores reflected the likelihood of CR-POPF, FRS being the score with the highest predictive value.

Simple Mortality Predictive Models for Improving Critical Care in Resource-Limited Settings: An Insight on the Modified Early Warning Score and Rapid Emergency Medical Score

Mortality rate among critically ill patients admitted to the Intensive Care Unit is high, particularly in low-income countries (LIC). Many scores have been developed to predict these fatal outcomes. In LIC, the applicability of scoring systems is precluded by the unavailability of resources to compile all the parameters of these scores. Herein, we highlight the advantages of two models: the Modified Early Warning Score (MEWS) and the Rapid Emergency Medical Score (REMS). The REMS and the MEWS have the advantage of being accurate, simple, inexpensive, and practical for LIC.

Does adding variceal status to the Child-Turcotte-Pugh score improve its performance in predicting mortality in cirrhosis?

The Child-Turcotte-Pugh (CTP) score is widely used worldwide to predict outcomes across a broad spectrum of liver diseases, mainly cirrhosis. Portal hypertension and variceal bleed are significant causes of morbidity and mortality in cirrhotic patients, although the variceal status is not incorporated into the classical CTP score. We sought to determine whether the inclusion of variceal status, specifically the Child-Turcotte-Pugh-Kumar (CTPK) score, would improve the utility of the classical CTP score to predict the clinical outcomes of cirrhotic patients in a single but high-volume center in China.We retrospectively analyzed the records of 253 patients from January 1, 2014 to December 31, 2014 and performed follow-up for at least 12 months. The CTPK score and the CTP score were obtained as soon as possible after the patient's admission. Telephone follow-up was performed to assess survival situations.At 3 and 12 months, the cumulative number of deaths was 9.1% (n = 23) and 13.8% (n = 35), respectively. In the multivariate Cox proportional hazards models, the CTPK score was independently associated with death within 3 and 12 months after adjusting for potential confounders. The predictive ability related to the 2 scores was evaluated by the area under the receiver operating characteristic curve (AUC-ROC) respectively. At 3 months of enrollment, the AUCs of CTPK and CTP were 0.814 and 0.838, respectively. At 12 months of enrollment, the AUCs of CTPK and CTP were 0.825 and 0.840, respectively. No significant difference between time points was observed. Both the CTPK score and the CTP score displayed prognostic value in cirrhotic patients, as the Kaplan-Meier analysis showed that the CTPK score could clearly discriminate patients in the intermediate term (P < 0.001).The CTPK score provides reliable prediction of mortality in Chinese cirrhotic patients for both short-term and medium-term prognoses, although it is not superior to the CTP score. Therefore, the CTP score remains an excellent tool for outcome prediction in patients with cirrhosis, and greater attention to variceal status may be in veins, even for patients with a history of variceal bleed or medium/large varices.

A survey of French general practitioners and a qualitative study on their use and assessment of predictive clinical scores

BACKGROUND

Predictive clinical scores, diagnostic as well as prognostic, are considered to be useful tools for making decisions under conditions of uncertainty. They are not intended to replace clinical judgment or medical experience, but to help physicians in the interpretation of clinical information. The general practitioner (GP), the gateway to care in the French health system, should be the main beneficiary of their utilization. However, there is no information on the prevalence of their use in general practice in France.

METHODS

A national, transversal epidemiological survey was conducted by electronic mail among GPs belonging to the French Sentinelles network. GPs were asked about their use of scores, the context of their utilization and the expected benefit. A qualitative study (focus groups) was also carried out with three groups of GPs within the context of continuous medical education.

RESULTS

The study consisted of 358 GPs. They were questioned on their use of seven predictive clinical scores (six diagnostic and one prognostic). Clinical scores were used by 75% of GPs, with no statistical difference with regard to their age or sex. The most often used were: the Mini Mental Status Examination (MMSE) (95%), Fagerström test (90%), Hamilton scale (65%), McIsaac scores (61%), DETA/CAGE (45%), Simple Calculated Osteoporosis Risk Estimation (SCORE) for osteoporosis (33%), and the only prognostic score CHADS2 (28%). Clinical scores were especially used when elderly people were involved (77%) and when the diagnosis was uncertain (63%). The qualitative study gave additional information on the barriers and obstacles to the use of predictive clinical scores.

CONCLUSION

This study, the first one in France, gives information on the perception of clinical scores and on the rationale for their use by GPs. Suggestions to improve the situation (availability and rate of utilization of clinical scores) are provided.